Stability AI jobs

AI Engineer San Francisco, CA, San Francisco, CA, United States Factory is looking for innovative AI Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their productivity and innovation. What you will do and achieve: - Innovate at the forefront of AI by designing, developing, and deploying AI-driven agentic systems that enhance Factory's core AI capabilities - Work with product and engineering teams to integrate emerging AI research findings into practical, customer-centric solutions - Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises - Take the initiative in identifying and addressing product stability and scalability challenges, ensuring the Factory Platform reliably supports large-scale operational demands - Lead the exploration and integration of large-scale data processing techniques to improve the reliability and effectiveness of our AI systems Qualifications - 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field. - Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas. - Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment. - Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation. - Experience with data-intensive applications

Applied AI Coach Georgia - Atlanta; California - Irvine; New York - New York; California - San Francisco; Colorado - Denver The Applied AI Coach is part of our new Outcome Acceleration team. Our team works with Agentforce to stay ahead of customer needs and ensure AI delivers real results. In this role, you will own the customer journey from the first sale until their AI deployment is stable and delivering value. You'll bridge the gap between building AI and realizing the business outcomes it was promised to bring. This is a hybrid role, based out of our SMB Hub, requiring an on-site presence 3 days per week. Responsibilities Design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case Run four-week sprints to diagnose and resolve performance issues when AI results are lagging Lead business reviews with customer teams, demonstrating tangible value through outcome data rather than simple usage reports Track AI agent deployment and adoption weekly to ensure stability in production Required Qualifications Degree in Computer Science, Information Systems, Engineering, Data Science, or a related field 1-3 years of work or internship experience in technical roles such as data analytics, engineering, or technical support Proven ability to work directly with customers to solve problems and communicate technical concepts clearly Hands-on experience with prompt engineering, vibe-coding tools, or LLMs Strong analytical skills with the ability to interpret outcome models and prove the value of AI Clear understanding of how AI

Applied AI, Forward Deployed Machine Learning Engineer - Montreal Montreal About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations. In this role, you'll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers)

Principal Machine Learning Engineer, Agentic AI Remote-USA posted: Posted 30+ Days Ago

AI Engineer London posted: Posted 2 Days Ago

Senior/Staff Product Manager, AI Agents New York City, New York, United States At January, we're transforming the lives of consumers by bringing humanity to consumer finance. Our data-driven products help financial institutions streamline their collections, offering borrowers straightforward and compassionate solutions to regain financial stability and control over their lives. We're not just expanding access to credit - we're restoring dignity and giving millions of people the chance to achieve financial freedom. About the Role We're building AI agents that don't just assist - they act . Autonomously. At scale. Across the most consequential moments in our product. This role owns the strategy, quality, and business impact of that system - and defines how the entire company builds with AI going forward. You'll architect how AI agents reason, decide, and execute across complex workflows - then build the systems that make them reliable, measurable, and continuously improving. You'll pressure-test our assumptions about what agents can become, bring product rigor to a domain where we've been moving fast without it, and set the standard other PMs learn from. We have early traction and strong conviction. What we need is a staff PM who turns that into a platform - one that expands what AI agents can own, accelerates how fast we ship them, and fundamentally changes our unit economics. What You'll Own The AI agent strategy. You own the roadmap. Not a feature backlog - a sequenced, opinionated strategy tied directly to business outcomes. You'll decide what we build, what we

Machine Learning Research Engineer, Agents - 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 an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. 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 into our training stack. - Build agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets - including defining highly performant

Director,Technical Solutions (Big Data/ AI) Bengaluru, India CSQ227R231 Mission The Director of Data & AI Support Engineering - Bangalore will be responsible for leading and growing a regional team of Data & AI technical experts in India , focused on providing resiliency and smooth operation of customer production workloads. This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions. This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more. Reporting to the Global Lead of Frontline Support Engineering - Data & AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals. The impact you will have: - Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours. - Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads. - Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and

Software Engineer, GPU Infrastructure (HPC) Canada | Hybrid | United States | Remote 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 team? The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. Please Note: All

Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI San Francisco, CA; New York, NY Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. About the Role As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: - Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases. - Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints. - Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance,

MGR I STAMPING Job Country Philippines Position Overview We are seeking an experienced Stamping Task Force Leader to support stabilization, safety, and performance improvement at our DDN Philippines manufacturing site. This assignment is focused on safe execution, process stability, and standardization , in alignment with CPT Stamping Standards and Process Excellence principles . The Task Force Leader will work closely with site leadership, engineering, maintenance, and production teams to address safety and performance gaps, stabilize stamping operations, and embed sustainable, standard-based improvements. Key Responsibilities Safety & Compliance Act as a role model for Safety Leadership , ensuring full adherence to stamping safety requirements and machine safeguarding standards. Support implementation and reinforcement of CPT Stamping Safety Specifications and safe work practices at press level. Identify safety risks in stamping operations and support corrective actions to achieve a safe and compliant production environment. Process Stability & Standards Support stabilization of stamping presses and production lines in alignment with CPT Stamping Standards Troubleshoot process issues related to tooling, press setup, materials, lubrication, automation, and auxiliary equipment . Drive consistent application of standard work, setup standards, and process controls . Performance & Process Excellence Drive improvements in OEE, scrap reduction, downtime reduction, throughput, and process capability . Apply CPT Process

Full-Stack Software Engineer, Reinforcement Learning San Francisco, CA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Full-Stack Software Engineer in RL, you'll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude's next generation depends on the quality of the data we train it on - and the systems you build are what make that data possible. You'll own product surfaces end-to-end - from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day. You don't need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn't typing - it's judgment, taste, and the ability to react to what researchers need next. You'll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you'll do it in a loop that closes in hours and days, not quarters or months. Anthropic's Reinforcement

Strategic Life Sciences Data & AI Expansion Specialist California Strategic Life Sciences Data & AI Expansion Specialist ➡️ Ready to leverage your Life Sciences expertise to influence the innovation strategies of the world's leading pharmaceutical and biotechnology organisations? ➡️ What if you could combine industry credibility, executive engagement, and cutting-edge AI technology to help shape critical innovation, portfolio, and growth decisions? ➡️ Interested in a role where you combine the stability of a VC-backed Unicorn with the autonomy, visibility, and influence of a role at the forefront of AI-powered intelligence in Life Sciences? If this sounds like your next move, we'd love to hear from you. Role Summary: We are seeking a highly commercial, customer-facing Strategic Life Sciences Data & AI Expansion Specialist to drive growth across our existing Life Sciences customer base and support high-value strategic opportunities throughout North America. This is an opportunity to join a business that is redefining how Life Sciences organisations discover, protect, and commercialise innovation. Trusted by leading pharmaceutical, biotech, and medical device companies worldwide, PatSnap's AI-native platform combines patent intelligence, scientific literature, clinical trials, regulatory data, and market insights to help customers make better decisions across the innovation lifecycle. With our Life Sciences business growing 20%+ YoY, significant investment in AI, and ambitious expansion plans, there has never been a more exciting time to join. The successful candidate will operate as a specialist overlay, partnering closely with Account Executives and Customer Success teams to identify, create, and accelerate expansion opportunities focused primarily on

Senior Software Engineer, AI Inference 2 Locations posted: Posted 24 Days Ago

Staff Engineer, Agentic Palo Alto, California, United States About Inflection AI Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We're shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people's potential. Inflection AI created Pi, the world's first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI's foundation model, proving that AI can be personal, empathetic, and contextually aware. About the Role As a Staff Engineer, AGentic at Inflection, you will own the platforms, systems, and services that bring our conversational AI to life at scale. You'll collaborate across research, product, and infrastructure teams to enable rapid iteration, high reliability, and secure delivery of novel AI features to millions of users. Your work will directly impact both the pace of product development and the stability of our production systems. What you'll do - Design and build backend systems that power agentic workflows in production: orchestration, memory, retrieval, and tool integrations. - Operate high-availability inference and conversation pipelines, optimizing for latency, cost, and quality. - Build internal platform pieces service templates, CI/CD, observability, evaluation harnesses, and rollout tooling that compound engineering velocity. - Partner with applied researchers and frontend engineers to design and iterate on user-facing features - Drive features from prototype to production with measurable user impact, ensuring reliability and performance at scale Must-haves - 10-15 years of backend engineering experience shipping production systems

AI Engineer Paris, Remote AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content. As an AI Engineer, you'll architect and ship the next generation of these AI systems, from prototype to production. You will join the AI Squad as its second AI Engineer, working closely with 1 peer AI Engineer, 1 Product Manager, 1 Product Designer, and 4 Full-Stack Developers. You will own the technical strategy for AI features while collaborating directly with product, design, and engineering. Over the last year, we have shipped 5+ AI features powering thousands of users monthly: Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments) Smart Search: conversational search helping users discover the right content Conversational BI : Analytics and insights delivered through natural conversation AI Course & Question Generation: Creating questions and full courses from documents and titles Content Recommendations: Personalized content discovery Our squad is unique because we operate in one of the fastest-moving fields in tech: AI! Within 1 month, you will: Within 3 months, you will: Within 6 months, you will: Within 12 months, you will: The Skill Set What We Offer Interview Process

Manager,Product Design Bangalore,India Manager, Product Design Location: Bangalore, India About Rubrik Join the public powerhouse that is securing the future of AI. Rubrik has officially entered a new era. Fresh off a headline-making successful IPO and boasting over $1.3 Billion in ARR , we have the market stability of a giant and the hunger of a startup. We've already conquered Data Security-now, we are pivoting to our most ambitious mission yet: Securing and Accelerating the World's AI Transformation. As a Manager, Product Design at Rubrik, you will be pioneering the next generation of User Experiences for the enterprise! From AI to air-gapped immutable backups to defending against ransomware, our tech stack is the definition of cyber resilience. We are a Gartner Magic Quadrant Leader and a winner of the Red Dot & iF Design Awards because we believe security and protection should be powerful and usable. Come build the safety net for the AI generation. About Team & About Role: Our design team is strong and mighty, with about 60 amazing individuals from all walks of the industry and life located worldwide. As our company and our products grow rapidly, it is crucial to scale the experience of our product and our design team in the right way and with the right people. Every hire counts! We are seeking a Manager, Product Design for our Bangalore site. This is a pivotal leadership role where you will not only oversee a talented team of designers but also serve as a strategic

Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA Paris About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed across France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. Learn more about our culture here. About the job The Applied AI for Critical and Sovereign Institutions team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence. Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners. Mistral AI is seeking an Applied AI Engineer

Sr. Technical Program Manager - AI/ML Hardware Health & Stability, Global Data Center Operations Seattle, Washington, USA The Central Operations team within Amazon Web Services (AWS) Infrastructure is seeking a Senior Technical Program Manager to drive the health, stability, and operational excellence of new hardware deployments across our global data center fleet. This role uniquely blends technical program management with strategic account management to ensure our GenAI and high-performance computing infrastructure delivers maximum value to customers. As a Sr. TPM, you will be the technical advocate and strategic advisor for operational support of new AI/ML hardware platforms. You will serve as the central owner of operational health (failure rate, repair efficacy, repair dwell time, break/fix process improvement) while driving cross-functional initiatives to improve these key performance indicators. You will work at the intersection of hardware engineering, data center operations, and service teams like EC2-translating complex technical data into actionable insights and leading programs that accelerate capacity delivery while maintaining the highest standards of operational health. This is not a sales role, but rather an opportunity to be the 'voice of the customer' and the 'voice of operations' for critical infrastructure that powers AWS's most demanding workloads. You will craft and execute strategies to optimize new hardware deployments, proactively identify and remediate stability issues, and establish best practices that scale across AWS's global infrastructure. Key job responsibilities Hardware Health & Stability Leadership - Own the end-to-end health and stability metrics for new AI/ML hardware platforms, establishing KPIs and routines that provide

Agentic AI/ML Engineer, Multimodal Irvine, CA FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from

Applications Developer IV General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We currently have an exciting opportunity for an AI & Automation Engineer to work within our GA-ASI Finance Solutions (FS) team in Poway, CA. The person selected for this role will be responsible for partnering with FS team members, Information Technology Services (ITS) and the business at large to lead our Finance & Administration (F&A) group in leveraging emerging technologies in the Artificial Intelligence (AI) space to deliver solutions which drive value to the business through transformative automation. These solutions may include Generative AI, Large Language Models (LLMs), Advanced Analytics through Machine Learning (ML) and Agentic AI in addition to standard Data Science. With the increase in available AI tools & technologies, this role will be responsible for being a conduit into these rapidly evolving capabilities, suggesting solutions to business needs by embedding within our teams to learn how we functionally operate. This may also include translating business needs into functional requirements documents, communicating those requirements to Information Technology technical staff, developing and testing solutions, and participating in the roll out and stabilization of these solutions to the business. DUTIES AND RESPONSIBILITIES: AI & Machine Learning Development - Design, build, and deploy AI/ML solutions (including LLMs, agents, and predictive models) to provide advanced descriptive, diagnostic, predictive, and prescriptive insights across finance and administrative functions. -

Senior AI Engineer Beijing Yizhuang posted: Posted 30+ Days Ago

Senior Engineer - AI Agents and Systems 2 Locations posted: Posted 30+ Days Ago

Data & Systems Developer London The Role: The Data & Systems Developer will play a critical role in maintaining and modernising the Branch's data and systems landscape, working as part of a dynamic, collaborative team at the heart of the business. The role will take ownership of the development, setup, and ongoing enhancement of local & group solutions. The position will also be responsible for the maintenance, stability, and evolution of the data and analytics estate, including Nucleus and associated reporting solutions, ensuring that the business is empowered to utilise our data. Duties & Responsibilities: Platform & Solution Development • Design, build and maintain new solutions using Databricks, R, Python and Power BI, which support users across the business. • Design and build processes to support the new Single Risk system. • Apply strong software engineering principles to structure scalable, maintainable systems and processes. • Support the ongoing development and maintenance of Nucleus, our data repository. • Contribute to architectural decisions across the data and reporting landscape. • Support the provisioning of data to business users • Ensure reporting solutions are robust, well-governed, and aligned to business and regulatory needs. • Keenness to explore AI integration into our technology landscape Migration of data landscape • Support the retirement of our legacy technology landscape (including Nova), ensuring continuity, stability, and risk mitigation. • Support the ongoing maintenance of ex