Find AI Work That Works for You

false

 About Us: webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.  About the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models.  Responsibilities: Lead the development and optimization of Large Language Models and Mixture of Experts models. Collaborate with cross-functional teams to integrate ML models into our platform.Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies. Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.  Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, or a related field. Proven track record of innovations through publications or industry experience.Minimum of 5 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts. Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch. Demonstrated ability to lead complex projects and work collaboratively in a team environment.Excellent problem-solving skills and a passion for innovation.  Preferred Skills: Experience with cloud computing services (AWS, Azure, GCP). Knowledge of Big Data technologies (Hadoop, Spark).Familiarity with containerization and orchestration technologies (Docker, Kubernetes).Publications or presentations in recognized Machine Learning journals or conferences.  We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: Competitive salary and performance-based incentives. Comprehensive health, dental, and vision benefits package. $200/mos Health and Wellness Stipend $400/year Continuing Education Credit Flexible work week Free parking, for in-office employees Unlimited Approved PTO Parental, Bereavement Leave Supplemental Life Insurance  webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

true

Forward Deployed EngineerAbout you:deploy AI systems that solve real problems, not demosmove fast, iterate with customers, ship valuealways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.About the Role:Our Forward Deployed Engineers serve as the technical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities.You’ll own the technical journey from pre-sales scoping through post-deployment support and expansion, connecting Archie’s reasoning capabilities to customer data, tools, and design processes. You will also make substantial contributions to the Archie core product, with early customer adaptations and configurations reused across deployments. This is a high-impact, high-visibility opportunity with potential to scale into a leadership role.Responsibilities:Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.Designing, implement, and refine customer integrations: connect Archie to engineering data sources and tools, iterate until it delivers measurable value.Fine-tune and evaluate AI systems in production environments: identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.Collaborate with engineering teams: work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks.Diagnose and resolve critical issues in live deployments: drive root-cause analysis and implement durable improvements across the organization.What We're Looking For:You should apply if you:Have shipped data-driven or AI systems to production (Python experience strongly preferred)Can rapidly build integrations between disparate customer systemsAre comfortable working directly with customers and technical leadersHave integrated or extended AI systems. Bonus points for engineering or scientific domains!You'll stand out if you have:A physical engineering background (physics, aerospace, electrical, mechanical, etc.)Experience with containerized AI services in productionWorked within compliance/regulatory frameworks for safety-critical hardwareDelivered solutions in secure enterprise environmentsHandled live production troubleshooting and customer incident responseInterview Process:Initial screening: Head of Talent (30 min)Technical manager interview: Head of Customer Engineering (45 min)AI system design session: customize an AI system to customer needs (60 min)Culture fit & mission: with co-founder & CEO (30 min)

false

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role  As a Lead Machine Learning Engineer – Recommender Systems, you’ll play a central role in improving HP’s Retrieval-Augmented Generation (RAG) pipelines for private and local data. You’ll build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications—all on-device. This role blends deep ML experience with product-focused engineering.  What You Might Do  Drive the design, implementation, and scaling of recommendation and retrieval algorithms for our AI Companion app Set the technical vision for vector search and similarity matching models to identify relevant documents across structured and unstructured data Analyze user interactions and system performance to guide algorithmic improvements Partner with cross-functional leaders in ML, infrastructure, and product teams to deploy fast and efficient RAG workflows Build and maintain retrieval indexes optimized for latency and memory  Mentor and guide engineers across the team, fostering best practices in experimentation, model evaluation, and production deployment. Essential Qualifications  8+ years of software development experience with exposure to ML engineering Deep expertise in recommender systems, embeddings, and ranking models Proven experience building or scaling document search or retrieval systems Strong understanding of vector databases (e.g., FAISS, Pinecone, Qdrant) Proficient in Python and one systems language (e.g., C++, Java)  Preferred Skills  Background in LLM integration or fine-tuning for RAG workflows Industry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends) Experience with ML pipeline tools (Airflow, Ray, TorchServe) Previous experience improving search relevance, click-through rate, or long-term engagement  Salary Range:  $175,000 - $275,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

false

About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.Location Requirement:This is a Palo Alto–based role and requires working onsite five days a week. Only candidates who are currently local or willing to relocate will be consideredAbout the RoleHippocratic AI is building safety‑first generative intelligence for healthcare. We are hiring an RN with clinical product experience to partner with our model and product teams to develop, validate, and continuously improve our medical large language models (LLMs). This role sits at the intersection of clinical expertise, patient communication, and product innovation – ensuring our AI agents are accurate, empathetic, and aligned with clinical best practices. What You’ll DoEvaluate the Medical Model. Design and run clinical evaluation protocols to assess the accuracy, safety, and appropriateness against guidelines and standards of care.Provide Clinical Insights. Translate frontline nursing expertise into product decisions—shaping dialog flows, safety rails, escalation criteria, and patient‑friendly explanations.Review & Triage Errors. Analyze error reports, identify root causes, and partner with engineers/researchers on remediation plans.Author “Gold Standards.” Create test cases, rubrics, and reference answers for high‑stakes scenarios; define acceptance criteria for model releases.Cross‑Functional Partner. Collaborate with ML researchers, speech/voice specialists, product managers, and QA to prioritize improvements and measure impact.What You Bring:Must-Have:Active, unrestricted Nursing License (RN) in your practicing state.Clinical experience in acute, ambulatory, telehealth, or community settings; strong patient communication skills.Excellent written & verbal communication—ability to explain complex medical concepts clearly to lay audiences and to technical teams.Prior experience with prompting language models, interacting or working with LLMs via text or voice, conversational AI, or clinical NLP. Commitment to safety and ethics; familiarity with HIPAA/PHI handling and privacy best practices.Intellectual curiosity and a commitment to advance health delivery and increase access to all.Nice‑to‑Have:Background in quality/safety or clinical education.Experience with clinical guidelines and patient‑education best practices.Domain expertise in clinical and care management workflows.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

false

About Us:Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our Team:Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: Raised $137 million from top investors including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.Location Requirement:This is a Palo Alto–based role and requires working onsite five days a week. Only candidates who are currently local or willing to relocate will be considered.About the RoleHippocratic AI is seeking a Director of Customer Success to lead our most strategic health system partnerships and a high-performing team of Customer Success Executives. In this role, you will combine executive-level client ownership with hands-on leadership of solution deployment, workflow adoption, and measurable long-term impact delivery.You’ll be a player-coach: directly managing enterprise client relationships while mentoring and developing a team that delivers scalable, repeatable success across our client base as well as shaping the playbooks, metrics, and processes that will scale our Customer Success function. This role is ideal for a healthcare-savvy leader who thrives in startup environments and knows how to translate early product-market fit into durable enterprise value.What You’ll DoLead, coach, and develop a team of Customer Success Executives, fostering a culture of accountability, collaboration, and continuous improvementServe as the executive point of contact for major health system clients, building trusted relationships with CNOs, CMIOs, COOs, and other senior stakeholdersLead enterprise implementations of Hippocratic AI solutions, ensuring alignment with client operational priorities and clinical workflowsCollaborate cross-functionally with Product, Engineering, and Sales to incorporate customer feedback and insights into product evolution and go-to-market strategyIn alignment with health system leadership, define, track and communicate client success metrics that measure clinical, operational, and financial impactGuide change management strategies and influence adoption across complex health system environmentsCodify best practices for onboarding, training, and workflow integration, setting the foundation for a repeatable, scalable CS modelRepresent Hippocratic AI at conferences, webinars, and industry forums positioning the company as a trusted partner in healthcare AI innovationSupport future team growth by mentoring junior team members and contributing to hiring and onboarding new Customer Success Executives What You BringMust-Have:8–12+ years of experience in healthcare, including 5+ years in customer-facing leadership roles working with or within health systemsProven ability to lead and develop teams managing enterprise accounts and drive impact across large, matrixed provider organizationsDeep knowledge of clinical workflows, operational processes, and care delivery models (especially nursing or revenue cycle)Experience leading cross-functional initiatives in a startup or high-growth technology environmentStrong executive presence and communication skills, with comfort presenting to and influencing clinical and operational leadershipDemonstrated success in implementation excellence, change leadership, and delivering measurable results in healthcare innovation Nice-to-Have:Experience with AI, digital health, or clinical decision support toolsBackground in consulting, health tech, or clinical operations transformation Prior exposure to regulatory, compliance, or data governance considerations in healthcare

false

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Engineering @ IroncladAs a Senior Staff Software Engineer at Ironclad, you'll work cross-functionally to identify business problems and architect, build, and verify solutions. You'll build a platform that lets lawyers scale themselves and their businesses 100x more effectively. At Ironclad, we’ve built a product that brings a two thousand year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward.Ironclad’s core pillar designs and operates the critical infrastructure and shared services that underpin every product and feature across the company. As part of this team, you’ll work on the infrastructure and shared services that enable Ironclad’s entire product ecosystem to run reliably, securely, and at scale. Our work spans a wide range of technical domains — from managing our cloud infrastructure, to data pipelines and near–real-time streaming engines, our object metadata store, document processing systems, and public API infrastructure. We also own key platform capabilities such as identity and access management, as well as Ironclad’s front-end design system that supports a consistent user experience.What you'll do:Collaborate cross functionally with product managers, designers, and other engineers to spec, design, and build features and systemsPartner with quality engineers to define, build and maintain testing strategyLead technical discussions, mentor and provide thoughtful feedback to other engineers on the teamGrow your teams by interviewing and recruiting talented engineers to IroncladWork on a modern stack built upon: TypeScript, ReactJS, Node.js, Java, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required)What we look for:At least 7+ years of software experience architecting, building, launching and maintaining complex systems (a formal degree is not required, we are prioritizing industry experience)Leadership across teams and a drive towards improving overall technical architecture and achieving company-wide goalsPassion for software engineering to build and ship great productHands-on experience shipping valuable products to production with real user feedbackA high bar for qualityStrong cross-team communication and collaboration skillsIronclad’s Values: drive, intent, integrity, and empathyBase Salary Range:Senior Staff Software Engineer: $245,000 - $270,000Benefits at Ironclad:100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options availableMarket-leading leave policies, including gender-neutral parental leave and compassionate leaveFamily forming support through Maven for you and your partnerPaid time off - take the time you need, when you need itMonthly stipends for wellbeing, hybrid work, and (if applicable) cell phone useMental health support through Modern Health, including therapy, coaching, and digital toolsHome office setup stipend to make your space work for youPre-tax commuter benefits (US Employees)401(k) plan with Fidelity with employer match (US Employees)Regular team events to connect, recharge, and have funAnd most importantly: the opportunity to help build the company you want to work atPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!As a Software Engineer on the Collect team, you will:Contribute to building critical internal tools and applications relied upon by hundreds of Cohere employeesWork with a small talented and enthusiastic team of software engineers.Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and occasionally server code.Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks.Identify and remove roadblocks to enable your team to increase its engineering velocity.Build resilient systems that are mission-critical.Keep up with the cutting edge and adopt new technologies to improve performance and reliability.You may be a good fit if:You’ve shipped fast and snappy web apps loved by many users.You have experience shipping products with a large number of stakeholders.You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python.You’ve mentored other engineers and are passionate about developing other junior folks.You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs.You’re excited to add new technologies to your toolbox and use them where it makes sense.You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

true

About UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.Role OverviewWe are looking for an experienced Strategic Account Executive located in the Southern Region to serve as an AI strategic advisor to Hippocratic AI’s partners, support superior management of the partnership, and align strategic objectives to AI-driven transformation. You will partner with our Chief Growth Officer to exponentially expand our value delivery through partnership expansion. The ideal candidate has extensive experience selling complex enterprise software solutions in healthcare, excels in navigating the intricacies of these organizations, builds close c-suite relationships, and thrives in a dynamic, fast-paced environment. You will be the face of Hippocratic AI in the market and pivotal in building relationships with key executive stakeholders, managing complex relationships and sales cycles, and expanding the impact of Hippocratic AI service to patients and members.ResponsibilitiesOwn the full partnership cycle: onboarding, building strategic relationships with C-suite executives, identifying new opportunities, negotiating, and contracting with assigned accountsDevelop and execute a strategic account plan to meet and exceed revenue targets, leveraging your deep understanding of your customers’ organizations and decision-making processes.Work collaboratively with leadership, customer success, clinical and technical experts, and colleagues to support your customers’ most pressing problems..Navigate long sales cycles with multiple decision-makers, ensuring timely and effective follow-up at every stage.Stay informed about industry trends, competitive offerings, and the evolving needs of healthcare organizations to position Hippocratic AI effectively.Partner with internal teams, including Marketing, Product, and Customer Success, to align strategies and deliver seamless client experiences.Demonstrate knowledge of critical operational and clinical metrics & processes, and how they impact provider decision-making and technology adoption.Must Haves:10+ years of proven success in enterprise sales, with a minimum of 5+ years selling SaaS solutions in healthcare.A proven track record of customer retention and account growthWillingness and ability to travel 50%+ for client meetings, presentations, and industry events.Familiarity with EHR systems and healthcare operations.Ability to work in a fast-paced environment and meet tight deadlines.Possesses excellent analytical skills, problem-solving skills, and decision-making skillsPublic speaking or presentation expertise, with the ability to command a room and articulate complex solutions effectively.A bachelor’s degree is required.Nice to Haves:Experience working in a startup or high-growth environment.Experience selling AI-powered solutions or other cutting-edge healthcare technology.An MBA or other advanced degree.

false

🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!Your responsibilityServe as the first iOS engineer in North America, driving growth initiatives and acting as an objective owner across multiple products, with strong upside through Agent Opus (Q1/Q2).Design, plan, and build the OpusClip iOS app from the ground up with scalability, performance, and maintainability in mind (with future expansion to Android).Collaborate closely with the PM as the technical lead, contributing to product roadmap discussions, scoping, and tradeoff decisions.Provide technical feedback during design reviews to ensure feasibility, performance, and alignment with mobile best practices.Integrate appropriate SaaS tools (analytics, monitoring, experimentation frameworks, etc.) to support operational excellence and data-driven iteration.Hire, mentor, and lead future mobile engineers, fostering a strong technical culture and setting high execution standards.QualificationsDeep passion for AI-native applications and social media ecosystems.5–8 years of experience building and scaling mobile apps, with proven impact on international markets, payment systems, or media platforms, or experience in a top-tier or high-growth consumer app.Demonstrated success optimizing scalability in a 1→10 startup environmentProficient in developing modern iOS applications (Swift, UIKit) and familiar with Android best practices.Strong ability to analyze product specs and designs, ensuring tech feasibility and high-quality execution.Highly self-driven, motivated, and hands-on problem-solving skillsSkilled at breaking down complex engineering scopes into milestones and delivering results with consistency and clarity.Preferred experiencesExperience working on mobile video editing productsExperience working on native AI agentic projects or mobile appsLocationWeWork, Burnaby, BC (On-site)EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

true

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.As a Senior Research Scientist, Model Evaluation, you will:Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.Build scalable and reusable tools for digging into model performance.You may be a good fit if:You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.You have strong software engineering skills.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleYou’ll be part of a global group assisting our breadth of customers with the technical details of how they use Decagon. Working directly with leaders across industries such as finance, healthcare, and hospitality, you’ll design reliable, intuitive AI agents that solve real-world user needs.This is a highly technical role married with the ability to deeply comprehend our customers workflows. You’re responsible, both; for solving our customers thorniest technical issues as they arise and for implementing new functionality and growing Decagon use inside of our existing customers.In this role, you will:Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionDevelop mastery of Decagon’s products and their integrations with other platformsUnderstand challenging business cases and build workflows and connectors to our customers’ APIsIdentify cross-customer trends to guide the evolution of Decagon’s agent-building platform and research effortsYou’ll be a good fit if you:Have 2+ years of industry experience in software engineeringAre proficient in PythonAre eager to deeply understand our technologies and how they interface with our customersBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$185K – $275K + Offers Equity

false

About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

false

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Responsibilities Technical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Core Agent Capabilities Development: Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Team Leadership & Mentorship Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team. Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large-scale distributed systems and real-time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross-team technical initiatives that have delivered significant business impact. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

About UsHippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our Team Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.About the RoleAs a Staff Software Engineer, you will work alongside a dynamic team of engineers, applied scientists, and healthcare professionals to drive advancements in our generative AI technologies. Your focus will be on building and optimizing the backend infrastructure of our core healthcare AI platform, supporting scalable, secure, and reliable data processing for AI applications in healthcare.ResponsibilitiesArchitect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications.Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets.Develop and manage APIs and microservices for seamless data retrieval, processing, and model interaction.Implement advanced data security and privacy protocols to ensure robust patient data protection.Continuously monitor and enhance backend systems to maximize performance, reliability, and uptime.Work with product managers to translate healthcare needs into technical solutions that enhance patient outcomes.Mentor junior engineers, providing guidance on technical projects and fostering a culture of collaboration and innovation.QualificationsMust-Have:Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.7+ years of experience in backend development with proficiency in languages like Python, Java, or Go.Strong understanding of SaaS, and cloud orchestration software. (Control Plane)In-depth knowledge of cloud platforms (AWS, GCP, or Azure) including Docker, Kubernetes, CI/CD and cloud networking.Strong understanding of data security, privacy measures, and data modeling.Excellent communication skills and experience working collaboratively within cross-functional teams.Preferred:Familiarity with cutting-edge LLM tools and frameworks such as Langchain.Previous experience in healthcare-related technologies or regulated data environments.Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications.Why You’ll Love Working Here: At Hippocratic AI, we’re reshaping healthcare with breakthrough technology. If you’re excited by innovation and eager to impact real-world healthcare challenges, you’ll thrive here.

true

About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.This role is hybrid (2 days in-office) for Uruguay-based candidates and Remote for Argentina-based ones.About the RoleAs a Senior Software Engineer at AirOps, you’ll help design and deliver core features across our AI-powered platform. You’ll work across the stack—from crafting backend services in Ruby on Rails to building intuitive, performant interfaces with React.In particular, this role will take ownership of a key initiative to expand and improve our integrations framework—making it easier for users to connect to the tools they already use and enabling new, powerful workflows. You’ll work closely with Product and CX to understand needs, prioritize capabilities, and deliver seamless, reliable integrations.We’re looking for engineers who thrive in fast-paced environments, take pride in building high-quality products, and are motivated by the opportunity to make meaningful contributions in a collaborative and dynamic team.Key Responsibilities:Design, develop, and maintain full stack features across the AirOps platformCollaborate cross-functionally to define technical solutions that meet user and business needsWrite clean, scalable, and well-tested code in both frontend and backend systemsReview code, mentor teammates, and help uphold engineering best practicesOwn and improve key parts of the application—from performance to architectureStay up-to-date with the latest developments in AI, data, and web technologiesContribute to a strong culture of experimentation, iteration, and shipping fastQualifications:5+ years of experience building production-ready software across the stackProficiency in Ruby on RailsSolid experience working with ReactExperience with modern web development tools (e.g., TypeScript, Tailwind, Webpack, PostgreSQL, Redis)Strong understanding of RESTful APIs and system design principlesExperience building or maintaining third-party integrations is a plusProduct-minded: able to balance engineering quality with pragmatic trade-offs to move fastInterest in or experience with Generative AI and related technologiesDemonstrated initiative and aptitude to make independent decisions and resolve complex challenges in a remote environmentBachelor’s degree in Computer Science or equivalent experienceNice to Have:Experience working on AI/ML or LLM-based productsFamiliarity with CI/CD and cloud platforms (AWS, Heroku, Vercel, ECS)Experience with observability tools like Datadog or SentryOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!The Selection ProcessSilver.dev Recruiter ScreenSilver.dev Live Coding ScreenCTO ScreenAirOps Technical AssessmentCEO Screen

false

About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Mobile Full Stack Engineer, you’ll design and develop our cross-platform command-and-control mobile app, the interface operators use to plan, monitor, and control autonomous missions in real timeResponsibilitiesBuild intuitive, real-time mobile operator dashboards for command & control.Develop cross-platform (Android/Embedded Linux) interfaces optimized for ruggedized Android hardware.Integrate mobile front-end with backend APIs for telemetry, mission planning, and AI systems.Collaborate with UX and backend teams to implement a unified design system.Ensure reliability, security, and offline performance under field conditionsCandidate RequirementsEducation: B.S./M.S. in Computer Science, Software Engineering, or related field.Experience: 5-8 years’ experience in mobile software engineering. Experience integrating mobile apps with backend APIs and real-time data.Technical Skills: Proficiency with Flutter or React Native and cross-platform UI design.Mindset: Strong understanding of performance optimization and secure code practices.Bonus: Background in gaming, defense, or aerospace; experience with real-time or simulation systemsCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: DMV area (D.C. / Maryland / Virginia) / On-siteCompensation: $155K-$185K + equity + benefitsStart Date: November 2025We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

false

About the TeamThe Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the RoleWe are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.The nature of this role will be low volume, high difficulty.This role is based in Tokyo, Japan. 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:Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.Design and refine incident response processes and documentation across strategic customers, engineering and support teams.Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.Provide support coverage during holidays and weekends based on business needs.You might thrive in this role if you:Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis.Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools.Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications.Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

true

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Possesses experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a Data Scientist Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.   You will: Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions Transition AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous Partner with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains Lead a cross-functional team to exceed the customer’s AI/ML objectives Support and partner across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States   We have a diverse team with a variety of skill sets, many have: 5+ years of professional experience, often in a customer-facing technical program management role in industry or government. A proven track record in B2B or government client facing roles and expanding client relationships Prior experience leading engagements with government customers Must haves: An active TS/SCI clearance Minimum of 3 years of work experience leading teams / programs in industry or government  A basic understanding of ML operations process A track record of structured, analytics-driven problem-solving Excellent verbal and written communication skills Willingness to travel at least 25% of the time Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of California is:$163,900—$245,300 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the team Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing:Building and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions that accelerate the delivery of ML systems.Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.Leading technical scoping and architectural decisions to ensure project feasibility and impact.Defining and implementing Faculty’s standards for deploying machine learning at scale.Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques.You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutionsThe Interview ProcessTalent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes)What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.