AI Product & Operation Jobs

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Senior Machine Learning EngineerFull-time | Munich | Seed Stage | Equity + SalaryHelp Build a Generational CompanyAt Knowlix, we’re on a mission to 10x small businesses' productivity. We strive to become the dominant small business platform for human-AI and AI-to-AI collaboration.We’re still early, but we’re thinking big. This is your opportunity to help shape a product that serves millions and defines a category.We move fast, ship often, and obsess over quality. If you burn to build, ship, and scale - and you love using AI to make things radically better - this is your seat at the table.Why Knowlix, Why NowWe're a well-funded seed-stage startup, backed by top-tier investors and experienced foundersOur tech works - and first users are already feeling the first magicWe're going after a massive market, with a product that changes how people workYou’ll be joining as one of the earliest team members - with real influence and ownership over the trajectory of the companyWe believe speed is a function of focus + iterationThis isn’t a job. It’s a chance to help build a once-in-a-generation company if we do things right. The RoleYou will design and ship advanced ML systems - especially LLM-driven agents and self-improving workflows. You’ll build robust data and training pipelines, enable fast experimentation, and ensure models and agents continuously improve in production. This is a hands-on role in a fast-moving startup where you ship, measure, and iterate quickly. What You'll DoBuild LLM-based agents, tool-using workflows, and autonomous self-improvement loops.Design, train, and evaluate ML models across NLP/LLM, vision, and retrieval domains.Develop data pipelines, training code, experiment tooling, and automated deployment systems.Use PyTorch for model development and W&B (or similar) for tracking experiments and lineage.Implement monitoring for performance, drift, safety, and agent behavior.Optimize inference for latency, throughput, and cost.Work closely with engineering and product to turn prototypes into reliable production features.Establish ML engineering best practices and mentor teammates.What You Bring (Requirements)5+ years experience deploying ML systems to production.Strong Python and deep experience with PyTorch.Hands-on experience with LLMs, retrieval (RAG), tool-use, or agent frameworks (e.g., LangGraph, AutoGen).Strong command of experiment management, versioning, and reproducibility using tools like W&B, MLflow, or similar.Solid understanding of data engineering and cloud infrastructure for ML workloads.Ability to take ambiguous ideas to production in a fast-paced startup environment.You’ll Thrive Here If You… (Preferred)Experience with reinforcement learning, self-evaluating or self-correcting agents.Publications or patents.Experience with model compression/optimization (quantization, distillation).Familiarity with safety evaluation, alignment techniques, and responsible AI practices.What You’ll GetA path-defining role in a high-upside company backed by world-class investorsDeep ownership and equityA team that cares deeply about what we’re building and the people we build it withA rare chance to leave your mark on something that has the opportunity to become generational

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? The Account Executive is responsible for seeking and maintaining relationships with NiCE Customers, identifying new sales opportunities, and building market share in their regions. This position is required to increase revenue streams within Enterprise accounts. Candidates must reside in Mumbai, India How will you make an impact? Responsible for achieving annual sales quota and personally negotiating Enterprise-wide agreements.  Coordinate and lead all sales activities to achieve business goals.  Ensure the proposed sales and solutions capitalize on NiCE CxOne's strengths and can be implemented successfully.  Establishing new strategic relationships while maintaining existing relationships and analyzing customer’s business situations to identify constraints and new opportunities due to technological advances.  Develop and maintain high-level relations with ‘C’levels.  Initiate, support, develop and monitor purchasing agreements between NiCE CxOne and the customer. Ability to manage large global accounts through virtual global team team which includes developing account strategy and execution. Have you got what it takes? 20+ years of experience selling multiple software products (portfolio sales) and services into sophisticated accounts in a hunter-type of role. 1+ years selling Conversational AI and or Digital Transformation solutions into enterprise accounts. Superior relationship and client management skills that effectively build trust and credibly manage/resolve customer escalations. Collaborative approach to sales that includes working with multiple groups both internally and externally. Exceptional communication and presentation skills that build confidence and credibility with C and VP-level executives. Inherent self-sufficiency, flexibility, and confidence with a preference for autonomy to take ownership and manage activities & processes to achieve revenue results. You will have an advantage if you also have: Experience/knowledge of CCaaS, CX, and Conversational Ai solutions. Experience/knowledge selling a full suite of SaaS products.  What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!  Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8186 Reporting into: Sales Director  Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleWe are seeking a seasoned, strategic GTM leader to own the vision, design, and execution of our best-in-class Go-to-Market (GTM) strategy. In this role, you will drive how Jasper wins in the market, refining segmentation and positioning, defining ideal customer profiles and value propositions, and aligning product, marketing and sales for maximum impact as we scale. You’ll partner closely with GTM leadership and across customer success, marketing, and sales to ensure we have the right strategic framework, hypotheses and data-driven plans to win in high-growth SaaS/AI markets. This is a high-visibility role with significant influence and an opportunity to shape Jasper’s growth trajectory.This fully remote role reports to the VP of Finance and is open to candidates located anywhere in the continental US. What you will do at JasperDefine and own Jasper’s GTM strategy: segmentation, target markets (mid-market, enterprise, industry verticals), value propositions, go-to-market plays, and motions (direct, partner, channel).Lead development of ideal customer profiles (ICP), buyer personas, competitive analysis and positioning to inform GTM priorities across the funnel.Partner with Product and Marketing to refine product-market fit, packaging, pricing strategy (in collaboration with GTM Operations) and messaging that resonates with target buyers.Build and lead the strategic road-map for market expansion: new verticals, enterprise vs. SMB/mid-market transitions, global expansion plans.Collaborate with Sales leadership to define coverage models, quota/metric alignment, partner ecosystem and partner motion strategy.Drive scenario planning, market sizing, TAM/SAM/target modeling to inform resource allocation and strategic decision-making.Provide executive-level insights and recommendations to the GTM leadership and the executive team: key trends, growth levers, risk mitigation.Monitor, iterate and refine GTM strategy over time adjusting to market dynamics, competitive changes and internal learnings.What you will bring to Jasper 12+ years of experience in GTM strategy, high-growth SaaS/AI businesses; at least 5+ years in a leadership/Director or Senior Director capacity.Proven track record of designing and executing GTM strategies that drove substantial revenue growth and market expansion.Deep understanding of SaaS business models, buyer personas (marketing tech, enterprise subscription SaaS), segmentation, go-to-market motions (direct, partner/channel).Strong strategic thinker who is data-driven, comfortable with ambiguity, and can build clear strategic frameworks that translate into tactical plans.Excellent communication skills, including experience presenting to executive teams and influencing cross-functional stakeholders (Product, Marketing, Sales, Finance).High-degree of business acumen, analytical rigor (market sizing, TAM modeling, competitive landscape) and commercial mindset.Comfortable working in a fast-moving, high-growth environment, willing to roll up sleeves and drive change.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected total salary range for this role is $250,000 - $270,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About Kodifly: Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle. Job Description: We are looking for a Software Engineer with a focus on Computer Vision to enhance our technology stack. This role offers a unique opportunity to work on real-world applications of AI and computer vision, contributing directly to the innovation and effectiveness of our SpatialSense product. Key Responsibilities:Develop and refine algorithms to enhance our capabilities, with a particular focus on spatial data presentation using GIS.Design, develop, test, and maintain software applications according to specifications.Collaborate with product managers, designers, and other stakeholders to gather requirements and define project scope.Write clean, efficient, and well-documented code using appropriate software development methodologies.Conduct thorough code reviews to ensure code quality, maintainability, and adherence to coding standards.Debug and resolve software defects and issues in a timely manner.Participate in architecture and design discussions to propose and implement solutions that align with business goals.Collaborate with cross-functional teams to integrate software components and resolve integration issues.Stay up-to-date with emerging technologies and industry trends to continuously improve software development practices.Collaborate with other assurance engineers to develop and execute comprehensive test plans.Contribute to the continuous improvement of development processes and tools.Create cutting applications for the edge and cloudParticipate in the design and development of new features that utilize cutting-edge computer vision techniques to advance our digital twin technology.Analyze performance data and iterate on our solutions to enhance accuracy and robustness in spatial data handling. Qualifications:Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related fieldProficiency in creating applications for the cloud and edgeSolid understanding of cloud computing platforms (e.g., AWS, Azure, GCP and associated services.Familiarity with edge computing concepts and technologies, such as CDN, caching, and edge caching.Prior DevOps experienceExperience with ROS software and methodologies is a plus.Proficient in programming languages such as C, Python, or similar.Strong understanding of software development principles, practices, and methodologies.Experience with backend software development frameworks Django, etc) and libraries.Familiarity with version control systems (e.g., Git) and collaborative development tools (e.g., Jira, Confluence).Knowledge of relational and non-relational databases and database design principles.Solid understanding of data structures, algorithms, and object-oriented programming concepts.Experience with unit testing and integration testing frameworks.Strong problem-solving and analytical skills.Excellent communication and collaboration skills.Ability to work independently and effectively in a team environment.We Offer:Opportunity to work with state-of-the-art technology in a rapidly evolving field.A collaborative environment where innovation is encouraged and rewarded.Competitive salary and share options.Professional development opportunities and a chance to make a significant impact in infrastructure safety and efficiency. Join Us at Kodifly: If you're ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology! 🚀

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You want to build at the cutting edge of AI, pushing the limits of scalable AI security. At Lakera, we are not just another research lab: we are engineering the next generation of security foundation models with immediate impact at scale. As a Research Intern, you will have ownership in shaping our key initiatives and working closely with the team in solving the largest open challenges in AI security. We are building the world’s best foundation models for offensive and defensive security to secure AI applications at scale. As a Research Intern, you will lead work on everything from designing novel LLM post training approaches for security to scaling training pipelines. You will define the future of AI security, and your research will not sit on a shelf, it will protect organizations globally.About LakeraLakera is on a mission to ensure AI does what we want it to do. We are heading towards a future where AI agents run our businesses and personal lives. Here at Lakera, we're not just dreaming about the future; we're building the security foundation for it. We empower security teams and builders so that their businesses can adopt AI technologies and unleash the next phase of intelligent computing.We work with Fortune 500 companies, startups, and foundation model providers to protect them and their users from adversarial misalignment. We are also the company behind Gandalf, the world’s most popular AI security game.Lakera has offices in San Francisco and Zurich.We move fast and work with intensity. We act as one team but expect everyone to take substantial ownership and accountability. We prioritize transparency at every level and are committed to always raising the bar in everything we do. We promote diversity of thought as we believe that creates the best outcomes.Example ProjectsScale training of large-scale security foundation models to very large parameters spaces.Design and optimize distributed training pipelines for efficient LLM post training.Implement reinforcement learning-based post-training methods for LLMs at scale.Come up with novel architectures to more effectively include large-scale context in defensive models.Contribute to expanding our efforts in benchmarking the security of novel LLMs when embeded in agentic systems. About YouYou love to build fast. You thrive in designing and scaling AI systems and making models actually work in production. You are comfortable working at the frontier of a rapidly moving field and like to see your research have real world impact at scale.You enjoy working in a fast-paced, impact-driven environment where you own the full stack and can push boundaries.We are looking for at least one of the following:A track record of scaling impactful research efforts, ensuring that new ideas can move from concept to large-scale deployment.Proven track record of advancing research through engineering, whether by implementing novel ML techniques, scaling complex experiments, or optimizing training and inference for cutting-edge models.Currently pursuing an advanced degree in ML, AI, or a related field.If you’re ready to push the limits of AI security and build at scale, let’s talk.👉 Let's stay connected! Follow us on LinkedIn, Twitter & Instagram to learn more about what is happening at Lakera.ℹ️ Join us on Momentum, the slack community for AI Safety and Security everything.❗To remove your information from our recruitment database, please email privacy@lakera.ai.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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About TensorWaveTensorWave is at the forefront of the GPU cloud revolution, delivering cutting-edge infrastructure that powers the next wave of AI and machine learning applications. As businesses worldwide accelerate their digital transformation and AI adoption, we're building the foundational technology that makes breakthrough innovation possible. Join us in shaping the future of cloud computing in one of the industry's most dynamic and rapidly growing sectors. The OpportunityThe Vice President of Engineering will lead all engineering functions across infrastructure, platform, hardware integration, and reliability. This executive will partner directly with the CEO to drive technical strategy, scale GPU clusters, and deliver world-class performance for enterprise AI workloads. Key ResponsibilitiesOwn the engineering roadmap across compute infrastructure, software platform, networking, and data-center operations.Lead, mentor, and scale high-performance engineering teams (infrastructure, systems, platform, SRE).Drive architecture and execution of large-scale AMD-based GPU clusters.Ensure reliability, performance, and security across all production systems.Collaborate with Product, Operations, and CEO on long-term technical strategy.Establish rigorous engineering processes, documentation, and quality standards.Manage budgets, hiring, and resource allocation to support rapid growth.Represent engineering in executive planning, customer discussions, and investor interactions as needed. Qualifications10+ years of engineering leadership; 5+ years leading multi-disciplinary teams.Deep experience with large-scale compute systems, HPC, or GPU/accelerator infrastructure.Strong understanding of cluster orchestration, networking, distributed systems, and performance optimization.Proven ability to scale engineering organizations in high-growth environments.Exceptional communication and cross-functional leadership skills.Experience with AMD Instinct GPUs, Kubernetes, or high-bandwidth architectures is a plus. What You BringStrategic mindset with hands-on technical depth.Bias for action, operational rigor, and a passion for world-class engineering.Ability to thrive in a fast-moving, high-performance startup environment. What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.About the RoleAs a Senior Machine Learning Researcher at AKASA, you’ll play a crucial role in pioneering advanced AI solutions that are transforming healthcare. You’ll collaborate closely with a talented team of PhD researchers, ML engineers, and healthcare experts to create models that directly enhance human efficiency and precision in complex operational workflows across the healthcare system. Our mission is to empower healthcare professionals with tools that amplify their capabilities, making them faster, more comprehensive, and more effective in their roles.At AKASA, our research and development balance cutting-edge LLM innovation with practical impact on healthcare operations. You’ll contribute to developing and adapting advanced language models, including pretraining and fine-tuning work on architectures like Llama. In this role, you’ll work end-to-end on model design, data creation, training, evaluation, and iteration, ensuring that your research advances not only our models but also the real-world tasks they support. You’ll have the opportunity to influence new research directions, support high-impact publications, and contribute directly to AKASA’s product offerings, bringing your work to life in tools used across healthcare systems.This is a US-based remote position with significant opportunities to impact healthcare through rigorous ML research and product innovation. We welcome candidates eager to advance AI’s role in healthcare within a collaborative, mission-driven environment.What You'll DoDrive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.Skills & QualificationsA passion for tackling meaningful healthcare challenges and leveraging AI to make a positive impact on the healthcare system.Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation. Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience. Peer-reviewed publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) strongly preferred.Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.Ability to work effectively in a cross-functional, fast-paced environment, with strong written and verbal communication skills.What We OfferUnlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensationBased on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

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About the TeamOpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.About the RoleThis is a founding role. As our first Technical Deployment Lead (TDL) for Financial Services, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.This role is based in New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role, you will:Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.Shape how we engage Financial Services customers You’ll thrive in this role if you:Bring 7+ years of customer‑facing technical delivery leadership.Have expertise in Financial Services Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.Excel in high ambiguity environments. Know how to simplify complex and dynamic work.Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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 the TeamThe Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.About the RoleGrowth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.This role is based in San Francisco. 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 will:Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.Expanding growth channels and market coverage, with attention to localization and regional performance nuances.Driving influencer and creator partnerships as part of the paid and organic growth mix.Collaborating with product teams to improve in-product conversion and onboarding flows.Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.You might thrive in this role if you are/have:8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.Proven ability to launch, scale, and optimize paid channels at significant budgets.Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.A test-and-learn mindset and comfort with fast-paced, ambiguous environments.Excellent cross-functional communication skills and stakeholder management experience.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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About the RoleWe're on the hunt for driven, hacky and scrappy product-minded Engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies.As part of our first 30 Engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats and build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset.What You'll DoBe involved in key decisions alongside the foundersWork closely with our world-class engineering team to develop features and products from the ground up.Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways.Participate actively in design and development discussions, contributing fresh ideas and perspectives.Engage with healthcare professionals to tailor software solutions that meet real-world needs.Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals.You will develop scalable software solutions that comply with HIPAA and other security standards.What We're Looking For1+ years of industry experience, with a proven track record of impact at a major tech company or a high-growth startup.Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade applications or systems.Willingness to wear multiple hats—from design and development to testing and occasional support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment.Benefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About the RoleWe're on the hunt for driven Senior Engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies.As part of our first 20 Engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats, build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset.What You'll DoYou'll have many responsibilities and will be involved in key decisions alongside the foundersWork closely with our world-class engineering team to develop features and products from the ground up.Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways.Participate actively in design and development discussions, contributing fresh ideas and perspectives.Engage with healthcare professionals to tailor software solutions that meet real-world needs.Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals.You will develop scalable software solutions that comply with HIPAA and other security standards.What We're Looking For4–8+ years of industry experience, with a proven track record of impact at a major tech company or a high-growth startup.Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade applications or systems.Willingness to wear multiple hats—from design and development to testing and occasional support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment.Benefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.     About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-AB1 #LI-Onsite   Compensation$134,400—$168,000 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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About the RoleThe mission of Neural Concept’s ML Application Engineering team is to help our customers in Korea solve their most complex engineering challenges. We collaborate closely with engineering and design teams within the automotive, aerospace and energy industries, understand their challenges and pains, and help them identify solutions to accelerate their conception processes. We leverage our platform to unlock the value of the most complex computer-aided engineering datasets and to create a direct impact on product design processes. Using 3D deep learning and engineering intelligence, we empower our customers to develop better products faster.As a key player in the Application Engineering Team, your mission will be to help industry leaders to redefine their product design workflow with cutting-edge technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier customers worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.What you will do You will run projects together with our customer’s engineering teams, analyze and process engineering data using our platform and python libraries, and develop tailored solutions and workflowsYou will apply our machine- and deep-learning workflows to different engineering/physics problems, as well as deliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE, and manufacturing. You will train customer teams to effectively use our methods and platform, ensuring smooth AI adoption into their workflows.You will work closely with our developers to translate customer needs and feedback into product improvements.Who you are You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leadersYou hold a Master’s or PhD degree in Engineering, Applied Mathematics, or Physics You have an excellent understanding of both Engineering and Machine Learning (strict requirement)You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries (strict requirement)You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus You can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing roleYou are fluent in English and Korean (preferably native)- mandatory requirement.What You GetWork with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.What You Will BeLocation : Lausanne, SwitzerlandEligibility: we do provide Swiss visa sponsorship for a successful candidateTravelling: Regular travels to South KoreaWe're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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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.

false

What if the bottleneck to scaling a frontier AI company isn't the technology, but figuring out which operational problems to solve first—and actually solving them? We're the ~50-person team behind Stable Diffusion, Stable Video Diffusion, and FLUX.1—models with 400M+ downloads. But here's the reality: breakthrough research doesn't automatically translate into sustainable business impact. Between cutting-edge models and a scalable company lie dozens of operational challenges that don't fit into neat job descriptions. That's where you come in. What You'll Pioneer You'll be the operational Swiss Army knife working directly with our founders, Chief of Staff, and leadership team. This isn't a traditional BizOps role with a fixed scope—it's a high-leverage position where you tackle whatever the most critical problem is right now, building solutions that scale as the company does. You'll be the person who: Works across multiple business functions as priorities shift—serving as connective tissue between R&D, GTM, Finance, and Operations Drives special projects and strategic initiatives on behalf of the Chief of Staff and founding team, owning end-to-end delivery from ambiguous brief to measurable impact Defines, tracks, and optimizes key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Owns monthly business reviews—synthesizing performance trends, insights, and recommendations into clear narratives that help leadership make better decisions Deep dives into critical business drivers, uncovering operational bottlenecks and inefficiencies across both business and technical operations Partners with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Supports executive communications—preparing board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-tests strategic alignment—assessing current projects against multi-year goals to ensure daily execution builds toward long-term success Questions We're Wrestling With How do we prioritize between competing operational needs when everything feels urgent? What metrics actually matter for understanding business health in frontier AI versus traditional SaaS? How do we translate technical infrastructure decisions (GPU cluster investments, compute allocation) into business strategy? Where are the hidden bottlenecks preventing us from scaling faster? How do we maintain execution velocity while building the operational discipline needed for sustainable growth? What does "good" look like for a business function we're building from scratch? These aren't hypothetical—they're the questions that determine whether we scale successfully or hit a wall. Who Thrives Here You've worked in environments where ambiguity is the default and structure is something you create, not something you inherit. You're equally comfortable building financial models and facilitating cross-functional alignment meetings. You understand that the best strategy is worthless without execution, and the best execution needs strategic clarity. You likely have: 4–6 years of combined experience in business operations, strategy, consulting (MBB), investment banking, venture capital, or private equity—with at least 1–2 years as an operator within a high-growth company A bias for action with a can-do attitude—you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving toward outcomes Executive presence and influence—proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions The ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization A commercially minded approach with sharp focus on translating operations into revenue growth and market impact Exceptional communication skills with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI We'd be especially excited if you: Have prior experience in AI, generative AI, or ML-adjacent businesses where the technology itself is evolving rapidly Are highly analytical with advanced modeling expertise and familiarity with SQL What We're Building Toward We're not just solving operational problems—we're building the foundation that determines how this company scales. Every process you design becomes how we operate. Every metric you define shapes what we optimize for. Every bottleneck you remove accelerates our growth. If that sounds more compelling than maintaining existing operations, we should talk. We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.  

false

What if the bottleneck to scaling a frontier AI company isn't the technology, but figuring out which operational problems to solve first—and actually solving them? We're the ~50-person team behind Stable Diffusion, Stable Video Diffusion, and FLUX.1—models with 400M+ downloads. But here's the reality: breakthrough research doesn't automatically translate into sustainable business impact. Between cutting-edge models and a scalable company lie dozens of operational challenges that don't fit into neat job descriptions. That's where you come in. What You'll Pioneer You'll be the operational Swiss Army knife working directly with our founders, Chief of Staff, and leadership team. This isn't a traditional BizOps role with a fixed scope—it's a high-leverage position where you tackle whatever the most critical problem is right now, building solutions that scale as the company does. You'll be the person who: Works across multiple business functions as priorities shift—serving as connective tissue between R&D, GTM, Finance, and Operations Drives special projects and strategic initiatives on behalf of the Chief of Staff and founding team, owning end-to-end delivery from ambiguous brief to measurable impact Defines, tracks, and optimizes key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Owns monthly business reviews—synthesizing performance trends, insights, and recommendations into clear narratives that help leadership make better decisions Deep dives into critical business drivers, uncovering operational bottlenecks and inefficiencies across both business and technical operations Partners with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Supports executive communications—preparing board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-tests strategic alignment—assessing current projects against multi-year goals to ensure daily execution builds toward long-term success Questions We're Wrestling With How do we prioritize between competing operational needs when everything feels urgent? What metrics actually matter for understanding business health in frontier AI versus traditional SaaS? How do we translate technical infrastructure decisions (GPU cluster investments, compute allocation) into business strategy? Where are the hidden bottlenecks preventing us from scaling faster? How do we maintain execution velocity while building the operational discipline needed for sustainable growth? What does "good" look like for a business function we're building from scratch? These aren't hypothetical—they're the questions that determine whether we scale successfully or hit a wall. Who Thrives Here You've worked in environments where ambiguity is the default and structure is something you create, not something you inherit. You're equally comfortable building financial models and facilitating cross-functional alignment meetings. You understand that the best strategy is worthless without execution, and the best execution needs strategic clarity. You likely have: 4–6 years of combined experience in business operations, strategy, consulting (MBB), investment banking, venture capital, or private equity—with at least 1–2 years as an operator within a high-growth company A bias for action with a can-do attitude—you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving toward outcomes Executive presence and influence—proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions The ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization A commercially minded approach with sharp focus on translating operations into revenue growth and market impact Exceptional communication skills with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI We'd be especially excited if you: Have prior experience in AI, generative AI, or ML-adjacent businesses where the technology itself is evolving rapidly Are highly analytical with advanced modeling expertise and familiarity with SQL What We're Building Toward We're not just solving operational problems—we're building the foundation that determines how this company scales. Every process you design becomes how we operate. Every metric you define shapes what we optimize for. Every bottleneck you remove accelerates our growth. If that sounds more compelling than maintaining existing operations, we should talk. We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.  

false

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.

false

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.