Stability AI jobs

Senior AI Engineer, AI Labs New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior AI Engineer at Via, you'll be a founding member of Via's new AI Labs - an incubator-style team operating like a startup within the company. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you. About the Role: - Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments. - Work closely with our partners in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions. - Lead technical

Senior Machine Learning Engineer, AI Agent Genies San Francisco, San Francisco, California, U.S, Genies LA Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. About the Role: We are seeking a highly motivated and passionate Senior Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Be Doing: - Research and implement state-of-the-art solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures, alongside classical machine learning techniques for a multi-modal AI chat product. - Architect, implement, and deliver scalable AI features and agentic systems

Senior Software Engineer, Scaling AI Systems SF Office, San Francisco, California, USA, NYC Office About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge's services and engineering team are in hyperscale mode. We are looking for experienced software engineers to join our team and help improve the performance, stability, and scalability of our software by multiples. This is a distributed systems oriented role and is approximately 80% software focused and 20% cloud infrastructure focused. You will help us build load testing and chaos engineering into our development cycle, leverage observability and profiling tools to identify performance bottlenecks and resolve them, work with diverse teams

Revenue Operations Senior Analyst San Mateo, CA (Hybrid) About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we're growing fast. Backed by top investors: We've raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We're on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. What You'll Accomplish First phase: own and stabilize lead routing - Routing logic the GTM org trusts. Build, maintain, and tune all routing logic in HubSpot and ChiliPiper. Implement and enforce the ownership and routing rules without hand-holding from Marketing

Senior Python Engineer for Agentic AI Romania

Data Governance with AI/Gen AI Chennai, Tamil Nādu, India

Workers Comp, Lost Time Claims Subject Matter Expert (User Research) - AI SaaS New York, NY or Remote About Us: EvolutionIQ's mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026! Overview: EvolutionIQ is developing a cutting-edge Artificial Intelligence (AI) based product designed to enhance efficiency and accuracy for Workers' Compensation Adjusters. We are seeking highly experienced, Subject Matter Experts (SMEs) to partner with our Product and Engineering teams in the development of that product. The primary role of the SME will be to provide expert validation, feedback, and real-world context on the product's features, user experience, and the quality/relevance of the AI-generated outputs. Key Responsibilities - AI Output Validation: Critically assess the accuracy, relevance, completeness, and practical utility of the AI-generated summaries, recommendations, and data extractions against source medical documents (e.g., Provider Visit Notes, Attending Physician Statements, Medical Bills, etc.) - Product Evaluation: Actively use and evaluate pre-release versions of the product's features, leveraging your knowledge of claims handling

Agentic AI & Data Scientist Valbonne (KFR51693) posted: Posted 30+ Days Ago

Director of Technology & Systems San Francisco, CA About the Role The Director of Technology and Systems will be responsible for building real depth across Finance, GTM, Operations, and People systems, connecting these capabilities into a powerful, AI-integrated backbone. You are a builder-first leader who will blend enterprise architecture with cutting-edge AI automation. Your goal is to eliminate fragmentation and enable every function to move faster by deploying internal AI agents that reduce manual work and surface actionable insights. You will lead the charge in making our internal operations as sophisticated as the external products we build. Key Responsibilities - Enterprise Application Strategy: Own the full lifecycle of our application ecosystem, and specialized AI tools. Ensure these systems converge into a secure, scalable backbone. - AI Agent Deployment: Identify opportunities to replace manual workflows with AI/LLM-powered agents. Build and manage "internal agents" that automate forecasting, revenue capture, and employee self-service. - Cross-Functional Partnership: Serve as the primary technology partner to the leadership team. Align system roadmaps with departmental goals to ensure seamless data flow from production to the back office. - Operational Excellence: Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements. - Team Leadership: Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity. Ideally, you have: - 10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment. - Deep familiarity with the enterprise systems landscape across

Staff Site Reliability Engineer – Automation and Platform Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts

Senior AI Architect Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description: We have an opening for a Senior AI Architect to lead the design, development, deployment, and operationalization of advanced generative AI applications and services that support mission and operational need within the National Ignition Facility. You will help translate emerging AI technologies into production-ready capabilities by building backend services, APIs, orchestration layers, and integration patterns that enable AI applications to interact with existing operations, technical, and knowledge-based data sources. This position is in the National Ignition Facility Computing (NIFC) Division within the Computing Directorate. This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. This position will be filled at either the SES.3 or SES.4 level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. You will Lead the architecture, design, development, deployment,

Senior Lead AI Engineer, Gen AI Platform 3 Locations posted: Posted 2 Days Ago

Android Engineer - Platform Engineering Stockholm Client Platform is an R&D studio that empowers hundreds of client developers to work efficiently on performance and stability in the Spotify apps, ultimately enabling them to deliver an awesome experience to Spotify users. We make this happen by providing observability and tools that collect performance and stability measurements and data, serving it to the feature squads in a clear and actionable way. We collaborate closely with our internal customers to understand needs and build a platform that fits. At times, we team up directly with feature squads to integrate our tooling and use it to identify and implement improvements directly in the app. Right now we are working on our next generation observability platform, which will gather different observations from the clients into one view, enabling engineers to understand what is happening at any given time, to find bottlenecks and better act on bugs and regressions. Client Platform is an R&D studio that empowers hundreds of client developers to work efficiently on performance and stability in the Spotify apps, ultimately enabling them to deliver an awesome experience to Spotify users. We make this happen by providing observability and tools that collect performance and stability measurements and data, serving it to the feature squads in a clear and actionable way. We collaborate closely with our internal customers to understand needs and build a platform that fits. At times, we team up directly with feature squads to integrate our tooling and use it to identify

HR Operations Team Leader Region/Country Poland | State/Province/County All-Poland | City Lodz HR Operations Team Leader Łódź, Poland The HR Operations Team Lead is responsible for delivering best-in-class HR solutions for designated scope of global processes, ensuring alignment with corporate guidelines, HR policies, and local regulations. The Team Lead provides inspirational leadership to a multicultural team of Specialists and/or Analysts, promoting collaboration and inclusivity while optimizing resources and delivering operational excellence by meeting performance targets. The role highly contributes to the successful implementation and stabilization of a follow-the-sun model for the global HR team to foster innovation through process improvements, AI, and automation solutions. The role involves building strong partnerships with HR Business Partners and HR peers, serving as the primary escalation point for complex operational issues, reporting to manager when necessary. MAIN RESPONSIBILITIES 1. HR Service Delivery Delivers best-in-class HR solutions for designated scope of global processes, driving operational performance while ensuring an exceptional, high-quality, and consistently reliable employee experience. Ensures the high performance of the designated HR Operations team within established KPI targets, following the Joint Accountability Agreement and cascaded goals. Leads the successful implementation and stabilization of a follow-the-sun model for the global HR Operations, ensuring a consistent and exceptional employee experience of the processes in-scope. E

Senior AI Software Engineer Remote - USA posted: Posted 9 Days Ago

Senior Software Engineer, AI Platform San Francisco, US (Hybrid) About Mixpanel Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel's AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more. About the Team The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable. We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users. Some examples of what we are building: - Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation. - AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library. - AI Engine: Services that centralize core AI and LLM

Engineer/Senior Engineer (Performance Testing) Hyderabad, Kondapur Position: Engineer/Senior Engineer (Performance Testing) Job Description: What You'll Be Doing 1 to 4 years total exp, location Hyderabad Good Academic background (CSC, ECE, EEE preferable) Strong Automation and coding skills (Python) with 1+ years of experience. Should have good knowledge in Performance, Stability, Test execution, Embedded, Axiom Should be able to do considerable analysis that will aid in stability. Sound knowledge on embedded systems. Good communication skills both verbal and written. What Are We Looking For Expertise in Performance, Stability, Test execution, Embedded, Axiom. Sound knowledge in Python Sound knowledge on embedded systems and Linux fundamentals. Excellent test execution skills, and creation . Working experience in chipset based companies are preferred . Location: IN-TG-Hyderabad, India-Gowra Palladium (eInfochips) Time Type: Full time Job Category: Engineering Services

Forward Deployed Application/ ML Engineering Expert Country USA | Internal Posting Location Palo Alto We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you design, build, and operate AI native enterprise applications that combine cloud native software engineering with production grade machine learning and agentic AI capabilities being embedded directly within customer environments and fast-moving delivery teams. You work closely with customers to translate ambiguous business and operational requirements into secure, scalable, and reliable solutions, to solve complex real world business problems at speed owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope. Working closely with product, data, ML, and customer teams, you apply modern AI assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption. In this role, you will: Desi

AI Models, Product Manager Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Own the Future of AI Inference Cerebras powers the world's fastest AI inference. As the Product Manager for AI Models, you'll lead the strategic model portfolio that defines our product - deciding which models ship, how they perform, and how the world discovers them. You'll partner directly with leading AI labs, drive launches that shape the industry, and ensure every model on our platform delivers exceptional quality at unprecedented speed. What You'll Own Strategic Model Portfolio - Own the models roadmap: decide which frontier and open-source

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI San Francisco, CA; New York, NY AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: - Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers. - Research cutting edge algorithms to integrate directly

Software Engineer - Imaging Systems San Mateo, CA United States Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We're looking for an embedded software engineer passionate about the full camera stack to help build a best-in-class imaging system. In this role, you will design and implement core imaging system components and algorithms-including autofocus, auto-exposure, image quality, and system stability-while partnering closely with hardware and computer vision teams to push the boundaries of camera performance. You

Lead AI Engineer Bangalore (India)

Forward Deployed Application/ML Engineering Expert (f/m/d) Region Europe | Country Germany | Internal Posting Location Garching We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you design, build, and operate AI native enterprise applications that combine cloud native software engineering with production grade machine learning and agentic AI capabilities being embedded directly within customer environments and fast-moving delivery teams. You work closely with customers to translate ambiguous business and operational requirements into secure, scalable, and reliable solutions, to solve complex real world business problems at speed owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope. Working closely with product, data, ML, and customer teams, you apply modern AI assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption. In this role, you will: Desi

Machine Learning Engineer - Agentic AI Sunnyvale, United States of America The VCV organization has pioneered human-centric, real-time technologies such as Face ID, FaceKit, and gaze and hand gesture control, transforming how millions of people interact with their devices by balancing research and product requirements to deliver Apple-quality experiences through full-stack innovation and close collaboration across HW, SW, and AI teams. Our team develops and integrates large language models (LLMs) and other cutting-edge AI techniques to enhance the autonomy and intelligence of our agentic systems. We are looking for an experienced engineer to design and build end-to-end agentic systems. This role focuses on developing systems that integrate large language models, tools, and data systems to execute multi-step workflows in production environments. You will work across the full stack to translate complex problems into reliable, scalable systems. You will design and implement agentic systems built around large language models (LLMs) that extend beyond traditional machine learning pipelines. The work will require making tradeoffs between latency, cost, accuracy, and controllability, including decisions between deterministic pipelines and adaptive, LLM-driven approaches within agentic system design. Build systems that combine models, tools, and data into cohesive, agentic workflows capable of executing multi-step tasks. This includes designing system behaviors such as planning, tool use, structured outputs, and failure handling. Develop infrastructure for evaluating and improving agentic system performance, including quality, reliability, and cost, and build monitoring and observability systems to understand behavior in production. Integrate LLMs with internal and external tools, enabling agentic systems to retrieve