Stability AI jobs

Machine Learning Systems 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 and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client 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 AI movement, we would love to hear from you! You will: - Build, profile and optimize our training and inference framework. - Post-train state of the art models, developed both internally and from the community, to

R&D Specialist, Medical Device Stability Mundelein, Illinois posted: Posted 30+ Days Ago

Research Scientist, Agent Robustness San Francisco, CA; New York, NY Scale Labs, Research Scientist - Agent Robustness As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: - Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them; - Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment; - Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer

Lead Application Engineer - Grid Integration and Stability 2 Locations posted: Posted 10 Days Ago

Senior Lead AI Engineer, AI Foundations 4 Locations posted: Posted 30+ Days Ago

Stability Enrollment, Trending, and Documentation Scientist-1 Hyderabad - TS - IN posted: Posted 7 Days Ago

Principal /Staff AI Engineer - Cortex Code Agentic System US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA . As a Staff/Principal AI Engineer on Cortex Code , you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient, repeatable, auditable, and shippable. You'll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust. Responsibilities: - Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior

Military Fellowship Program: Stability & Control Engineer Dayton, OH posted: Posted 30+ Days Ago

Reliability/DFX Engineer San Francisco, California, United States About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are seeking a highly skilled cross-stack engineer with deep expertise in making ML systems reliable at scale. This hands-on individual contributor will sit within our hardware team and work closely with chip design, platform design, hardware health, and the broader industry ecosystem to architect, implement, and deploy reliable next-generation AI accelerator systems. This engineer will evaluate system and chip architecture holistically, identify high-ROI opportunities to improve reliability and availability across the stack, and translate those opportunities into strategy and silicon features. In this role, you will: - Oversee DFX architecture, implementation, and execution in silicon from concept to high-volume deployment, and propose high-ROI features to enhance reliability and fault tolerance. DFX includes design for testability, reliability, availability, and serviceability of high-performance AI hardware. - Build system-level reliability models grounded in empirical data to guide organization-wide DFX and reliability strategy. This requires a detailed understanding of chip and system architecture, design, implementation, and component-level reliability. - Collaborate with chip and platform architecture/design teams

Mental Health Worker - Adult Crisis Stabilization Hospital - Towson The Adult Crisis Stabilization Unit (Trail Suite) is a 22-bed unit offering psychiatric care for the treatment of major mental illnesses where the average length of stay is 8 days. Mental Health Workers are expected to work the hours of 3pm-11:30pm and 11p-730am 40 hours weekly, including every other weekend and holidays.

Thesis on AI-Driven Map Matching and Path Prediction on Semantically Enriched Road Networks Location not specified SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE. SHARE YOUR PASSION. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. Map matching and path prediction are core capabilities for autonomous driving. Our team at the BMW Group explores data-driven approaches that combine symbolic reasoning and machine learning, operating on real-world map data to improve robustness, accuracy, and interpretability in complex urban environments. What awaits you? You will support modeling road connectivity and constraints in RDF and implementing rule sets to compute the most probable path using a rule-based reasoner. Furthermore, you help build features from observations and the road graph, learning graph embeddings and training models to predict the next link or path. In addition, you contribute to formulating path prediction as a reinforcement learning problem, integrating graph embeddings and training agents such as DQN or actor-critic. Moreover, you will assist in developing sequence-to-sequence or transformer-based models to align GPS trajectories to graph-aligned edge sequences and comparing them to baselines. Darüber hinaus wirkst du mit beim Experimentieren mit graph-aware atten

Mental Health Worker - Adult Crisis Stabilization Hospital - Towson The Adult Crisis Stabilization Unit (Trail Suite) is a 22-bed unit offering psychiatric care for the treatment of major mental illnesses where the average length of stay is 8 days. Mental Health Workers are expected to work the hours of 7am - 3pm and 3pm-11:30pm 24 hours weekly, including every other weekend and holidays.

AI Support Engineer San Francisco | OnSite | New York City WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. About the Role Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments. This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously. We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should

Senior ML Engineer - Agentic AI Waltham MA - 10 CityPoint posted: Posted 6 Days Ago

Senior Sales Manager Data Centers - Power Stability 7 Locations posted: Posted 29 Days Ago

Staff Software Engineer, AI Reliability Engineering London, UK 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities - Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. - Design and implement monitoring and observability systems across the token path. - Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers - Lead incident response for critical AI services, ensuring

Infrastructure Engineer Dublin - IE, Dublin, Leinster, Ireland Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: At Crusoe, the Infrastructure Engineers on our Fleet Operations team play a crucial role in ensuring the reliability and stability of our hardware platform. This role involves both hands-on diagnosis and repair of rack-level GPU hardware, as well as

Senior Engineer – Stability Analysis (Remote Eligible-US) 2 Locations posted: Posted 2 Days Ago

Machine Learning Research Scientist, Reasoning San Francisco, CA; Seattle, WA; New York, NY About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning , collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: - Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or

Senior Software Engineer - NVLink Rack Scale Stability and Reliability 6 Locations posted: Posted 6 Days Ago

Machine Learning Engineer, Integrity San Francisco, California, United States About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You'll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You'll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: - Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. - Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. - Optimize and Scale: Implement scalable data pipelines, optimize

Senior Regional Manager Data Centers - Power Stability Systems 5 Locations posted: Posted 8 Days Ago

Senior AI Engineer - Cortex Code US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential - and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology - and careers - to the next level.About the Role The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA . Your work will directly impact how developers and businesses build with data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team. What you will do

Director, Community Finance Underwriting - Stabilized Proprietary & Multifund 3 Locations posted: Posted 4 Days Ago