AI Software Engineer Jobs

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the RoleOur GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.We’re seeking a Sales Strategy & Operations business partner role to support our Startups segment. In this role, you’ll serve as a trusted advisor to sales leadership, driving core operating cadences, delivering data-driven insights, and leading high-impact projects that accelerate growth across the startups motion. You’ll also collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.This role is based in NYC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Drive core operating rhythms including forecasting, pipeline reviews, top account reviews, and monthly/quarterly business reviewsAnalyze performance data to identify trends, surface risks, and highlight growth opportunitiesPartner with sales leaders and cross-functional stakeholders to develop go-to market strategyManage planning efforts including territory design, resource allocation, and target settingLead initiatives that enhance seller productivity and optimize funnel performanceCollaborate with GTM Systems to assess, implement, and optimize sales processes and toolingWork closely with the data team to ensure data accuracy and availability for revenue-related activities.You might thrive in this role if you have:7+ years experience in revenue operations or strategy at a high-growth, technology companyProficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel)Strong analytical skills with a focus on attention to detailExperience building territories, comp plans, and setting quotas for GTM teamsExceptional project management skills, with experience leading complex, cross-functional initiativesStrong communication skills and executive presenceAn understanding of the AI landscape, our applications, and the problems they solve for our customers.The ability to thrive in ambiguity and work autonomouslyExceptional organizational skillsThe ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Location: United States (Remote, NYC Metro Area ideal) About the company Cake is on a mission to make cutting-edge AI practical and scalable for every business. We remove complexity and cost barriers, empowering organizations to adopt AI faster and with greater confidence. Cake solves the end-to-end AI infrastructure challenge, enabling customers to move from experimentation to enterprise-scale production up to 10x faster and more cost-effectively than alternatives. The platform brings together compute management, open-source components, common integrations, and project-ready building blocks, with security, governance, and monitoring built in from the start. This approach is already resonating strongly in the mid-market, and we are now expanding rapidly into the enterprise. Backed by top investors, Cake is a dynamic team of forward-thinking technologists passionate about breaking down barriers and making AI accessible to companies that need both speed and trust to scale. Intensity, humility, and collaboration are the cornerstones of Cake culture. We learn quickly, move with urgency, and push the boundaries of what is possible, building both the next generation of AI infrastructure and a culture where ambitious people can do the best work of their careers. What you’ll do As a Senior Software Engineer, you’ll be a key part of our engineering organization, driving the design, implementation, and scalability of Cake’s core product experience. You’ll work across the stack—from the front-end Next.js application to the backend Go services running on Kubernetes—ensuring our products delight customers and meet the highest standards of reliability and performance. Specifically, you will: Deliver High-Quality Features Quickly ramp up on Cake’s architecture (e.g., Next.js, Go Kubernetes Operator, Crossplane, and Terraform). Contribute code with high autonomy and identify technical debt or bottlenecks affecting velocity. Suggest immediate process/tool improvements to optimize team speed. Own Critical Initiatives Lead at least one major product feature or architectural refactoring from concept to production release by your second month. Drive improved code quality, security, and performance through thoughtful reviews and mentorship. Mentor & Share Knowledge Conduct knowledge-sharing sessions or pair-programming to elevate team skill sets. Provide clear, actionable feedback to help other engineers grow and adopt best practices. Engage with Customer Needs Work directly with customers, answering questions and troubleshooting issues. Use this insight to inform product priorities and improve overall solution impact. Participate in a 24/7 on-call rotation to respond to critical customer issues. Requirements 5+ Years of Software Engineering Significant experience in full-stack development with React or Next.js, plus backend expertise (Go preferred). Experience designing and implementing robust user-facing APIs. Cloud-Native Experience Familiar with AWS, GCP, or Azure. Solid understanding of container orchestration (Kubernetes strongly preferred). Architectural & Design Skills Proven track record of building secure, scalable platforms. Ability to diagnose and debug complex production systems. Focus on Quality & Security Embrace test-first, DevSecOps approaches and modern CI/CD pipelines. Customer Obsession History of working directly with customers, translating feedback into technical requirements. Entrepreneurial Mindset Excited by product ownership, iterative development, and fast-paced decision-making. Excellent Communication Skilled at articulating complex technical topics to both technical and non-technical audiences, both verbally and through documentation. Able to drive consensus and collaborate effectively across teams. Benefits Cake is a remote-first company Competitive cash compensation alongside above-market equity upside Top-tier fully covered medical, dental, and vision insurance Life insurance 401k program Additional Perks PTO Monthly half day Citi Bike membership Monthly wellness stipend Office equipment stipend, including reimbursement for approved disability-related accommodations Investment in employee learning and growth opportunities Cake is committed to providing equal employment opportunities to all employees and job seekers regardless of race, color, religion, national origin, sexual orientation, gender, gender identity, marital status, disability, veteran status, or any other legally protected category. As an equal opportunities employer, we value diversity and its positive impact on our culture.  Cake also complies with the Americans with Disabilities Act (ADA). We are dedicated to working with and providing reasonable accommodation to job applicants with physical or mental disabilities. If you require accommodation, please email us at accommodationrequests@cake.ai and we will promptly address your request.

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.About the RoleAs an Applied Machine Learning Engineer – Evaluations at Hippocratic AI, you’ll be at the core of how we measure, understand, and improve our voice-based generative AI healthcare agents.Your work will translate complex, qualitative notions of empathy, safety, and accuracy into quantitative evaluation signals that guide model iteration and deployment.You’ll design and implement evaluation harnesses, analysis tools, and visualization systems for multimodal agents that use language, reasoning, and speech.Partnering closely with research, product, and clinical teams, you’ll ensure every model update is grounded in data, validated against real-world scenarios, and continuously improving in both intelligence and bedside manner.This is a hands-on, experimental role for ML engineers who care deeply about quality, safety, and user experience—and who thrive at the intersection of research and product.What You'll Do:Design and implement evaluation harnesses for multimodal agent tasks, spanning speech, text, reasoning, and interaction flows.Build interactive visualization and analysis tools that help engineers, researchers, and clinicians inspect model and UX performance.Define, automate, and maintain continuous evaluation pipelines, ensuring regressions are caught early and model releases improve real-world quality.Collaborate with product and clinical teams to translate qualitative healthcare goals (e.g., empathy, clarity, compliance) into measurable metrics.Analyze evaluation data to uncover trends, propose improvements, and support iterative model tuning and fine-tuning.What You BringMust Have:4+ years of experience in applied ML, ML engineering, or AI evaluation, with a focus on building and analyzing model pipelines.Strong skills in Python, with experience in data processing, experiment tracking, and model analysis frameworks (e.g., Weights & Biases, MLflow, Pandas).Familiarity with LLM evaluation methods, speech-to-text/text-to-speech models, or multimodal systems.Understanding of prompt engineering, model fine-tuning, and retrieval-augmented generation (RAG) techniques.Comfortable collaborating with cross-functional partners across research, product, and design teams.Deep interest in AI safety, healthcare reliability, and creating measurable systems for model quality.Nice-to-Have:Experience building human-in-the-loop evaluation systems or UX research tooling.Knowledge of visualization frameworks (e.g., Streamlit, Dash, React) for experiment inspection.Familiarity with speech or multimodal model evaluation, including latency, comprehension, and conversational flow metrics.If you’re passionate about understanding how AI behaves, measuring it rigorously, and helping shape the next generation of clinically safe, empathetic voice agents, we’d love to hear from you.Join Hippocratic AI and help set the benchmark for evaluation-driven AI development in healthcare.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.About the RoleAs an AI Engineer – Evaluations at Hippocratic AI, you’ll define and build the systems that measure, validate, and improve the intelligence, safety, and empathy of our voice-based generative healthcare agents.Evaluation sits at the heart of our model improvement loop — it informs architecture choices, training priorities, and launch decisions for every patient-facing agent. You’ll design LLM-based auto-evaluators, agent harnesses, and feedback pipelines that ensure each model interaction is clinically safe, contextually aware, and grounded in healthcare best practices.You’ll collaborate closely with research, product, and clinical teams, working across the stack — from backend data pipelines and evaluation frameworks to tooling that surfaces insights for model iteration. Your work will directly shape how our agents behave, accelerating both their reliability and their real-world impact.What You'll Do:Design and build evaluation frameworks and harnesses that measure the performance, safety, and trustworthiness of Hippocratic AI’s generative voice agents.Prototype and deploy LLM-based evaluators to assess reasoning quality, empathy, factual correctness, and adherence to clinical safety standards.Build feedback pipelines that connect evaluation signals directly to model improvement and retraining loops.Partner with AI researchers and product teams to turn qualitative gaps into clear, defensible, and reproducible metrics.Develop reusable systems and tooling that enable contributions from across the company, steadily raising the quality bar for model behavior and user experience.What You BringMust Have:3+ years of software or ML engineering experience with a track record of shipping production systems end-to-end.Proficiency in Python and experience building data pipelines, evaluation frameworks, or ML infrastructure.Familiarity with LLM evaluation techniques — including prompt testing, multi-agent workflows, and tool-using systems.Understanding of deep learning fundamentals and how offline datasets, evaluation data, and experiments drive model reliability.Excellent communication skills with the ability to partner effectively across engineering, research, and clinical domains.Passion for safety, quality, and real-world impact in AI-driven healthcare products.Nice-to-Have:Experience developing agent harnesses or simulation environments for model testing.Background in AI safety, healthcare QA, or human feedback evaluation (RLHF).Familiarity with reinforcement learning, retrieval-augmented evaluation, or long-context model testing.If you’re excited by the challenge of building trusted, production-grade evaluation systems that directly shape how AI behaves in the real world, we’d love to hear from you.Join Hippocratic AI and help define the standard for clinically safe, high-quality AI evaluation in healthcare.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.About the RoleAs an AI Engineer at Hippocratic AI, you’ll play a pivotal role in shaping the future of voice-based generative AI in healthcare. You’ll design and build the intelligent systems that power our clinically safe healthcare agents, working at the intersection of large language models, real-time voice, and human-centered product design.This is a deeply hands-on and cross-functional role, partnering closely with AI researchers, product managers, and clinical experts to bring advanced language and speech models into production. From building scalable RAG and multi-agent pipelines to conversational interactions, your work will directly influence how patients and providers safely interact with generative AI at scale.We’re looking for experienced engineers who are passionate about AI in the real world—people who love taking cutting-edge research, turning it into robust products, and advancing the frontier of what’s possible in safe, agentic healthcare systems.What You'll Do:Design, build, and optimize production-grade AI pipelines that power our voice-based generative healthcare agents—from retrieval-augmented generation (RAG) to multi-step reasoning systems.Collaborate cross-functionally with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences.Prototype and deploy zero-to-one features using state-of-the-art LLMs, retrieval systems, and streaming architectures—balancing innovation with reliability.Develop and refine AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts.Drive continuous improvement in model evaluation, safety testing, and observability, ensuring every agent interaction meets clinical safety standardsWhat You BringMust Have:3+ years of professional experience in software, ML, or AI engineering.Proven track record building and shipping AI- or ML-powered products in production environments.Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains.Nice-to-Have:Experience building or deploying LLM-based or multi-agent systems at scale.Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.Prior exposure to healthcare, safety-critical domains, or regulated product development.If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

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About UsHippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job description.About the RoleAs a Technical Program Manager (TPM) at Hippocratic AI, you’ll play a pivotal role in bringing cutting-edge AI research into production and launching new products and markets for our generative, voice-based healthcare agents.You’ll work at the intersection of AI research, engineering, and product, turning experimental systems into clinically safe, scalable, and regulated products used by healthcare professionals and patients around the world.This means driving complex, cross-functional programs—from early prototyping to product launch—while ensuring reliability, compliance, and real-world impact.This role is ideal for someone who loves translating frontier AI research into production systems, thrives in ambiguity, and enjoys building the connective tissue between teams to deliver ambitious outcomes quickly and safely.What You'll Do:Drive productionization of AI research: translate emerging LLM and agentic system prototypes into deployable, clinically safe products.Lead cross-functional programs spanning research, engineering, product, and clinical operations to bring new AI capabilities to market.Define and own program plans, success metrics, and execution timelines across multiple product areas and markets.Build lightweight processes and tools (using AI, automation, or no-code platforms) to accelerate research-to-product velocity.Ensure launch excellence—overseeing validation, safety reviews, go-to-market readiness, and feedback loops for post-launch learning.What You BringMust Have:3+ years of experience in technical program management, product engineering, or applied AI roles.Proven track record shipping AI or ML-powered products—from prototype to production, ideally in a regulated or safety-critical domain.Strong technical background and ability to engage deeply with AI researchers, ML engineers, and infrastructure teams.Exceptional program design, prioritization, and communication skills, with the ability to align diverse stakeholders.Comfort operating in fast-paced, ambiguous environments where both rigor and speed matter.Nice-to-Have:Experience with LLM, RAG, or multi-agent systems and understanding of model evaluation or deployment workflows.Familiarity with healthcare, compliance, or enterprise SaaS launches.Experience using no-code / low-code platforms (Airtable, Retool, Zapier) or AI automation tools to streamline operations.Prior work managing international product launches or new market expansion for AI technologies.If you’re excited about turning AI breakthroughs into real-world products that improve patient care and safety, this is your chance to lead at the frontier.Join Hippocratic AI and help bring clinically safe generative AI to healthcare at scale.

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.The RoleAs a Principal Advisor, you will partner directly with CXOs across telecom, insurance, financial services, healthcare, and retail to drive AI-led reinvention of customer operations. You’ll identify high-impact opportunities to improve service efficiency, customer satisfaction, and agent performance transforming contact centers into intelligent, AI-native experience hubs.This is a high-visibility role at the intersection of AI innovation and enterprise transformation. You will shape multi-million-dollar strategic initiatives, forge industry-defining partnerships, and influence how Fortune 1000 enterprises adopt AI to reimagine customer experience.Key ResponsibilitiesExecutive Advisory: Counsel CXOs on how AI can re-architect contact center and customer operations to drive measurable enterprise value (e.g., lower cost-to-serve, improved NPS, faster resolution times).Opportunity Creation: Identify and shape AI-led initiatives that deliver step-change impact across contact center automation, workforce orchestration, and real-time reasoning.CXO Engagement: Build and sustain deep, trusted relationships with customer experience, operations, and technology leaders.Strategic Deal-Making: Lead negotiations and close $XXmm+ partnerships that unlock $XXXmm+ in enterprise value through AI-native customer engagement.Account Development: Drive continued transformation efforts at key accounts to deepen Distyl’s impact and expand adoption.Market Presence: Be recognized as a thought leader in AI-driven CX transformation - tracking trends in conversational AI, automation, and intelligent customer experience systems.Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, ethos, and mission and how they uniquely apply to customer experience transformation.Qualifications & ExperienceProven success leading large-scale customer experience or contact center transformation initiatives ($XXmm+ impact).Experience advising Fortune 1000 executives in CX, operations, or AI transformation.Deep understanding of contact center operations (e.g., workforce management, agent assist, case routing, QA, analytics).Exposure to AI-driven CX solutions such as generative AI assistants, intelligent automation, or reasoning-based decision systems.Exceptional communication and storytelling skills with both technical and non-technical audiences.Demonstrated resilience and adaptability in dynamic, high-stakes environments.Strong desire to work closely with technologists and continuously refine solutions based on enterprise feedback.Why Join Us?Redefine Customer Experience: Lead AI transformations that revolutionize how enterprises serve and engage millions of customers.Operate at the Highest Level: Engage directly with CEOs and CXOs to drive billion-dollar impact across industries.Shape Industry Standards: Partner with leading telecom, financial services, retail, and insurance enterprises to define the next generation of customer operations.High-Growth, High-Upside: Be a key leader in a hyper-growth AI company backed by the best in enterprise and AI.Mission-Driven, Elite Team: Join a culture of high ownership and deep impact, working alongside world-class AI engineers and strategists.

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About the TeamThe Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.About the RoleWe’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.This role is based in San Francisco, CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.Research and evaluate emerging tools and techniques in the forecasting space.Translate technical outputs into business-aligned recommendations and decision frameworks.You might thrive in this role if you have:Extensive experience building production-ready models for time series applications.Proven track record of building adjustable and explainable forecast models for multiple planning cycles.10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling.Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.Team leadership experience with a track record of building high-performing, engaged teams.An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed.Bonus if you have:Experience building or scaling forecasting platforms in a high-growth company.A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Craft:Craft is the leader in supplier risk intelligence, enabling enterprises to discover, evaluate, and continuously monitor their suppliers at scale. Our unique, proprietary data platform tracks real-time signals on millions of companies globally, delivering best-in-class monitoring and insight into global supply chains. Our customers include Fortune 500 companies, government agencies, SMEs, and global service platforms. Through our configurable Software-as-a-Service portal, our customers can monitor any company they work with and execute critical actions in real-time. We’ve developed distribution partnerships with some of the largest integrators and software platforms globally.We are a post-Series B high-growth technology company backed by top-tier investors in Silicon Valley and Europe, headquartered in San Francisco with hubs in Seattle, London, and Warsaw. We support remote and hybrid work, with team members across North America and Europe.We're looking for innovative and driven people passionate about building the future of Enterprise Intelligence to join our growing team!About the Role:We’re growing quickly and looking to hire several senior-level data engineers for multiple teams. Each team is responsible for a key product within the organization. As a core member of the team, you will have great say in how solutions are engineered and delivered. Craft gives engineers a lot of responsibility and authority, which is matched by our investment in their growth and development.Our data engineers carry a lot of software engineering responsibilities, so we're looking for engineers who have strong Python coding experience, Pandas expertise, and solid software engineering practices. What You'll Do:Build and optimize data pipelines (batch and streaming).Extracting, analyzing and modeling rich and diverse datasets of structured and unstructured dataDesign software that is easily testable and maintainable.Support in setting data strategies and our vision.Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.Work on extendable data processing systems that allows to add and scale pipelines.Apply machine learning techniques such as anomaly detection, clustering, regression classification, and summarization to extract value from our data sets.Leverage AI-powered development tools (e.g. Cursor) to accelerate development, refactoring, and code generation.Who You Are:4+ years of experience in Data Engineering.4+ years of experience with Python.Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance, and observability of data pipelines in a production environment.Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.Strong knowledge of SDLC and solid software engineering practices.Familiar with infrastructure-as-code approach.Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.Strong problem solving and the ability to communicate ideas effectively.Self-starter, independent, likes to take initiative.Familiarity with at least some of the technologies in our current tech stack:Python, PySpark, Pandas, SQL (PostgreSQL), ElasticSearch, Airflow, DockerDatabricks, AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS, Amazon Neptune)CircleCI, GitHub, TerraformKnowledge surrounding AI-assisted coding and experience with Cursor, Co-Pilot, or CodexA strong track record of leveraging AI IDEs like Cursor to:Rapidly scaffold components and APIsRefactor legacy codebases efficientlyReduce context-switching and accelerate documentationExperiment and prototype with near-instant feedbackWhat We Offer:Option to work as a B2B contractor or full-time employeeCompetitive salary at a well-funded, fast-growing startupPTO days so you can take the time you need to refresh!Full-time employees: 28 PTO days allotted + paid public holidays B2B contractors: 15 PTO days allotted + paid public holidays100% remote work (or hybrid if you prefer! We have coworking space in center of Warsaw.)A Note to Candidates:We are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, caste, or disability status.Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Craft, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!

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As a Senior Platform Engineer, you’ll be at the heart of our infrastructure - designing, building, and scaling the core platform that powers our AI-driven security products. You’ll collaborate closely with our AI, backend, and product teams to ensure our systems are performant, stable, reliable, and secure.You’ll own key pieces of our cloud and service platform, automate everything you can, and continuously improve how we deliver, monitor, and scale mission-critical applications. If you’re passionate about building scalable, reliable infrastructure and enabling teams to deliver faster and with confidence, this is the role for you.What You’ll DoDesign and build scalable, secure, and high-performance infrastructure for our AI-native platform.Own AWS region expansion, harden the system for compliance, and improve elasticity, disaster recovery, and high-availability features.Develop tooling, services, and automation, including runbook automation and AI-assisted developer workflows, to improve platform reliability and developer experience.Partner with AI and backend engineers to streamline deployment, CI/CD, observability, and performance optimization.Drive initiatives around infrastructure-as-code, container orchestration, and operational excellence to reduce toil and enhance incident response.What We’re Looking For5+ years of experience in Platform, DevOps, or Software Engineering roles.Experience working closely in and with development teams, and proven ability to change production code.Strong software development skills (Python, TypeScript, or similar).Deep experience with AWS cloud infrastructure.Expertise with Kubernetes, Docker, Terraform, and modern CI/CD systems such as GitHub Actions.Experience building observability and monitoring systems leveraging tools such as the full Grafana stack.Passion for developer experience, automation, and high-scale systems.Strong understanding of distributed systems, networking, and security fundamentals.Curiosity and drive to work at the intersection of AI and cybersecurity. Nice to HaveExperience with AI/ML platforms or data-intensive systems.Knowledge of agent frameworks, LLM orchestration, or event-driven architectures.Familiarity with SOC operations, threat detection, or security automation tools.

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: up to $150k/year (DOE) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics – our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.We’re looking for a frontend focused Full Stack Software Engineer to join the team! We need someone who excels at building rich and engaging user experiences and can collaborate effectively with team members to refactor code, debug issues, and support a production environment actively used by customers. Your primary focus will be on enhancing our frontend capabilities while also supporting our existing platform and contributing to the backend as needed. In this role, you'll drive the development of intuitive and visually appealing interfaces on a robust and scalable architecture. You’ll work closely with customers and our product and machine learning teams to create powerful tools that enable users to craft delightful AI-powered conversations for callers. Our stack includes TypeScript, React, and Node.js in Kubernetes on GCP.What You’ll DoBuild new features powering millions of daily conversations on Replicant’s core AI voice and chat products, focusing on frontend services and building industry-leading user experienceCollaborate closely with product managers, designers, and ML engineers in an agile, iterative environmentThoughtfully review code and architecture to maintain quality and mentor peersParticipate in regular on-call rotations, monitoring live production systems and quickly resolving issuesUse metrics and your team's collective experience to drive development decisionsChampion best practices and design patterns, shaping a fast-moving culture focused on engineering excellenceWhat You'll Bring5+ years of full-stack software engineering experience with demonstrated passion, judgement, and skill in building beautiful, delightful user featuresMastery of modern AI tools for building end-to-end complete features in days, not weeks or monthsHistory of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over processStrong communication skills that build trust with teammates and stakeholdersDemonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AIMastery of modern JavaScript/TypeScript and frontend frameworks (React or similar).Demonstrated familiarity with all of the following:Design systems or component libraries, such as Material-UI or BootstrapCSS preprocessors, such as SASS or LESSFrontend testing frameworks, such as Vitest or JestAccessibility standards (WCAG, ARIA) and building inclusive applicationsBonus points for experience with LLM prompt engineering, Google Cloud Services, and KubernetesEnthusiasm for AI, machine learning, or telephonyFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics – our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.We’re looking for a Backend-Focused Full Stack Software Engineer to join the team! We need someone who excels at developing and optimizing backend services, can collaborate with team members to refactor code, debug issues, and support a production environment actively used by customers. Your primary focus will be on enhancing our backend capabilities while also supporting our existing platform and contributing to the frontend as needed. In this role, you'll support core product functions by designing and implementing scalable backend functionality, optimizing data structures, and refactoring business logic to improve performance and meet future needs. You’ll work closely with customers and our product and machine learning teams to create powerful tools that enable users to craft AI-powered conversations for callers. Our stack includes Python, TypeScript, Node.js, and React in Kubernetes on GCP.What You’ll DoBuild new features powering millions of daily conversations on Replicant’s core AI voice and chat products, focusing on scalable, reliable backend services and infrastructureRefractor, optimize, and debug production systems balancing latency, cost, and user delightContinuously improve systems based on performance metrics and customer feedbackThoughtfully review code and architecture to maintain quality and mentor peersChampion best practices and design patterns, shaping a fast-moving culture focused on engineering excellenceParticipate in regular on-call rotations, monitoring live production systems and quickly resolving issuesWhat You'll Bring5+ years of backend software engineering experience in a SaaS environmentProven experience owning and shipping elegant, maintainable, continuously improving solutions that scale to millions of usersHistory of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over processStrong communication skills that build trust with teammates and stakeholdersMastery of AI tools for writing, improving, debugging, and refactoring large code basesMastery of Node.Js or Python deployed on a cloud platform (AWS, GCP, or Azure)Expertise in one or more of the following:Relational databases such as MySQL or PostgreSQL, and ORM tools such as TypeORM or SequelizeData engineeringCI/CDLLM prompt engineering, integration of AI technology in production systemsEnthusiasm for AI, machine learning, or telephonyFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM The Corp Tech Acquisition team scopes and manages the implementation of Anduril’s acquired companies. We help enable the new acquisitions to build, ship, and deploy products at scale with Anduril’s systems and processes. As we continue to acquire companies and expand our capabilities, we are seeking a highly skilled Acquisition Program Manager specializing in Mergers & Acquisitions (M&A). This role will lead and coordinate the acquisition process, work with leadership and cross-functional teams to ensure a smooth integration, and manage all aspects of program planning and execution. ABOUT THE JOB   Oversee the acquisition program lifecycle from due diligence, integration, and adoption to completion across multiple acquisitions Work closely with cross-functional stakeholders (IT, Legal, HR, Supply Chain, Manufacturing, Mission Operations, Finance, Product, Deployments) to root cause problems and scope key requirements, milestones, and dependencies for acquisition implementation success Own building the program management foundation for the acquisition team Own defining, managing, and improving program management processes for all acquisition implementations Help implement risk management strategies, identifying potential issues and developing contingency plans Manage the program timeline across all related acquisitions, ensuring milestones are met and programs stay on track Define program scope, goals, and deliverables in collaboration with stakeholders and senior management Facilitate communication and collaboration across cross-functional teams and departments Provide regular updates and/or risks to the appropriate management channels and escalate issues, as necessary, according to each acquisitions integration plan Analyze each program status and, when necessary, revise the scope, schedule, or resources to ensure that program requirements can be met Establish and maintain relationships with relevant stakeholders, providing day-to-day contact on program status and changes REQUIRED QUALIFICATIONS   50%+ travel required insanely high execution bar, and will see all programs through from conception to tactical completion to move Anduril forward 5+ years of program management experience, preferably with managing complex systems and operations implementations 5+ years of experience with managing executive communication, board of director goals or driving cross company initiatives Excellent written and verbal communication skills and strong presentation skills, able to clearly articulate needs to leadership team and a wide variety of cross-functional stakeholders Collaborate across teams, strategizing how to bridge different parts of the organization to achieve cross-functional outcomes Ability to observe and anticipate potential risks across programs, milestones, timelines, etc. You are incredibly organized, detail-oriented, and and excel in strategic planning You have both high ownership and low ego, approaching everything with strong outcome orientation and high humility You’re discerning and an incredibly fast learner U.S. Persons status is required as this position needs to access export-controlled data    US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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FEQ127R16 DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。 仕事の内容 プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。 あなたがもたらす影響： あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。 見込み客をDatabricksの評価と採用へ導きます。 リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。 ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。 顧客のユースケースのディスカバリー 既存顧客のDatabricks環境の最適化 Databricks製品改善のための活動 必要な条件/経験: 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験 パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験 エンタープライズアカウントとの業務経験  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。 望ましい経験/スキル: データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験 Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験 データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験  About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.