Stability AI jobs

Software Engineer, Cooperative AI San Francisco, California, United States, Seattle About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We're looking for Software Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You'll push the boundaries of OpenAI's newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive,

Site Reliability Engineer San Francisco | OnSite WHO WE ARE We are an applied AI lab building end-to-end software agents. We're the team behind Devin, the first AI software engineer, and Windsurf, an AI-native IDE. These products represent our vision for AI that doesn't just assist engineers, but works alongside them as a genuine teammate. Our team is small and talent-dense: world-class competitive programmers, former founders, and researchers from the frontier of AI, including Scale AI, Palantir, Cursor, Google DeepMind, and others. ROLE MISSION Devin and Windsurf are used by hundreds of thousands of developers every day. When something goes wrong, it goes wrong for all of them at once. This role exists to make sure that doesn't happen, and when it does, to make sure it's resolved faster than anyone expects. You will own both the production reliability of our user-facing products and the platform engineering that lets our team ship quickly and confidently. That means SLOs, incident response, and on-call on one side, and CI/CD pipelines, deployment infrastructure, and developer tooling on the other. At Cognition, these are not separate jobs. The best SREs here understand that reliability is engineered in, not bolted on. WHAT YOU'LL ACCOMPLISH - Production Reliability: Define and own SLOs, SLIs, and error budgets for Devin and Windsurf. Build the monitoring, alerting, and observability systems that give the team a clear, honest picture of service health at all times. - Incident Response and On-Call: Lead incident response with speed and clarity. Run blameless postmortems

Applied AI Engineer Europe, United States, Israel (remote) About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. Key responsibilities - Take part in development and optimization of a large neural network-based tabular model implemented in Python - Profile training and inference pipelines to identify performance bottlenecks - Rewrite critical components in Rust (via PyO3 or custom extensions) where Python limits us, with C++ (via PyBind11 or custom extensions) as a secondary option where appropriate - Improve memory efficiency, latency, and throughput across model pipelines - Ensure correctness, numerical stability, and reproducibility as the model evolves - Collaborate with ML researchers on productionizing new capabilities - Maintain clean abstractions, comprehensive tests, and clear documentation - Shape architectural decisions for our ML systems handling tabular data Must have - Strong software engineering fundamentals with expert-level Python and Rust - Hands-on experience bridging Python and Rust (PyO3, maturin, or

ML Systems Performance Engineer Sunnyvale CA or Toronto 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 Engineers on the inference performance team operate at the intersection of hardware and software, driving end-to-end model inference speed and throughput. Their work spans low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling and estimation, and the development of tooling for performance projection and diagnostics. Responsibilities - Build performance models (kernel-level, end-to-end) to estimate the performance of state of the art and customer ML models. - Optimize and debug our kernel micro code and compiler algorithms to elevate

QA Automation Engineer (AI Systems & Web Apps) New York, NY (Hybrid) At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone! Our engineering team is looking for a QA Automation Engineer. This role will be responsible for building and maintaining automated and manual testing frameworks that ensure the reliability, safety, and performance of web, mobile, API, and LLM-powered systems. This role includes designing tests for agentic workflows, validating structured outputs, identifying regressions in model behavior, and collaborating with engineers and product managers to ensure comprehensive test coverage. Talkspace HQ is in NYC; this position is based in Eastern Standard Time. What You'll DO Automation Testing Develop and maintain automated test scripts for web apps, mobile apps, APIs, and LLM-driven features. Build and improve automation frameworks for testing agentic and multi-step workflows. Update automated scripts based on evolving requirements, prompts, tools, and system behaviors. Debug and troubleshoot automation issues to ensure stability and reliability. Manual & Exploratory Testing Execute manual test cases to validate new features and identify defects. Conduct exploratory testing to uncover unexpected behaviors, including AI-specific issues. Create and maintain detailed test plans and test cases. Document and track defects using standard tools and processes. AI-Specific QA Responsibilities Develop evaluation harnesses for LLM outputs, including structured output validation and model

AI ML Engineer with LLM & AWS Integration In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

Applied AI, Fullstack Software Engineer, Critical and Sovereign Institutions, Paris 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. 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 mistral.ai/careers. About The Job Mistral AI is seeking an Applied AI Engineer, Fullstack Software Engineer to facilitate the adoption of its products among customers operating in critical, sovereign, and highly regulated environments. The Applied AI Engineer - Fullstack Software Engineer will be an integral part of our Applied AI Engineering team, helping drive the successful deployment of Mistral AI products for critical infrastructure, sovereign institutions, and strategic public or private-sector organizations. You will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations while respecting

Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today

Full Stack Engineer with AI In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

Machine Learning Engineer, Proactive — Large Language Models, Generative AI & Agentic Systems Cupertino, United States of America The Intelligence Platform team empowers clients across Apple's operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We're an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver high-quality inferences at scale! We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple. Agentic AI is an emerging area for our team-prior experience is a plus but not required. What matters most is curiosity, strong ML fundamentals, and the ability to navigate and apply cutting-edge research! Leading exploration and application of LLMs, Generative AI, and emerging agentic AI techniques (e.g., tool-use models, model-driven planning, task decomposition). Translating the latest research into high-performing, production-ready ML systems that enhance user experiences across Apple products. Helping define the technical direction for LLM-driven and agentic AI capabilities within the Intelligence Platform. Contributing to all phases of model development-problem formulation, experimentation, evaluation, fine-tuning, deployment, and continuous improvement. Collaborating cross-functionally to design and implement ML solutions, ensuring alignment with product goals, privacy requirements, and performance metrics. Driving innovation by identifying opportunities to incorporate advanced

Sales Director, Auto Property & Casualty Solutions (AI Insurance SaaS) 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! Your Impact: As a Senior Sales Director focused on EIQ's Property & Casualty (P&C) product offerings, you are responsible for managing the entire sales life cycle from start to finish, including prospecting, identifying needs, presenting, defining solutions, establishing plans, structuring deals, and managing and growing our relationships with both prospects and customers within the North American territories. You must be sales-driven, fast-moving, and have a strong customer focus. You are passionate about creating value for your customers, which ultimately leads to profitable business for both us and them. You know how to identify the right decision makers and influencers, how to listen, and how to ask the right questions. You have excellent communication skills--you know what to say and more importantly, how to say it. About You: - A sophisticated sales executive who brings with them

Java and Microservices with Generative AI - TL - Apple In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

AI Engineer CZE - Central Bohemian - Prague (Five) posted: Posted 4 Days Ago

AWS and AI Engineer In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

AI Data Architect 50 Locations

Software Engineer, Integrity Foundations San Francisco, California, United States About the Team The Applied Foundations 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 Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: - Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. - Assist with response

Human-Centered AI Intern, CAD Design Reasoning Machine Learning Los Altos, CA

AI/ML Engineer with Generative AI In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

AI Engineer - Core San Francisco, California, United States Hilbert is building a reasoning engine that must navigate non-deterministic user behavior across data silos - turning months-long decision cycles into minutes. Fully agentic by design, our demand intelligence platform doesn't just call APIs; it solves the hard problem of orchestrating multi-step inference over messy, high-stakes enterprise data where deterministic answers don't exist. From Fortune 500 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies. We're looking for an AI Engineer who can build production-grade AI systems end-to-end - from prototype to pipeline to product - with the ownership and urgency of a startup culture. This is not a "wire up a prompt chain and move on" role. You'll own core pieces of the AI stack that power Hilbert's demand intelligence platform - designing agent architectures, building evaluation systems, and making hard tradeoffs between accuracy, latency, and cost in production. You'll ship fast in conditions where the spec is evolving, and communicate what you're building (and why) with clarity to the rest of the team. If you think in systems, have opinions about how agentic workflows should actually work, and want to build AI products that drive real enterprise outcomes, we want to meet you. THE ROLE You'll work directly with the founding team and across product, data, and GTM to design, build, and improve the AI systems at the heart of Hilbert. The environment is

AI Solution Architect İstanbul, Istanbul, Türkiye

AI Engineer In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

Research Scientist Intern, AI Alignment Bellevue, WA; Menlo Park, CA; Seattle, WA; Boston, MA; New York, NY; San Francisco, CA Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques - Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy - Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results - Publish research results and contribute to research that can be applied to Meta product development Minimum qualifications: - Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field - Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment - Experience with Python, C++, C, Java or other

Java AI Developer In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: ⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided ⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions ⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability ⦁ Conduct code reviews, do changes to the codebase and maintain code repositories ⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards ⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications ⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability ⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects Your contribution to the team: ⦁ A collaborative spirit and excellent communication skills. ⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation. ⦁ A knack for translating complex requirements into actionable development tasks. ⦁ A passion for design and hands-on coding experience ⦁ A proactive approach to testing, troubleshooting, and refining our applications. ⦁ The ability to work with cross-functional teams and do software integration.

Senior Manager, Service Reliability Toronto Requisition ID: 262760 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Team Global Banking and Markets Engineering (GBME) is the fast-moving, award-winning technology engine that powers Scotiabank's Corporate, Investment Banking and Capital Markets businesses. The Role GBME is searching for a Senior Manager, Service Reliability who are eager to boost reliability and stability of capital markets products and analytics platforms. The successful candidate will have a strong analytical and engineering mindset. You will work closely with Site Reliability Engineers (SRE), application, infrastructure, and operations teams to ensure incidents are resolved quickly, root causes are addressed, and corrective actions are fully implemented. Is this role right for you? In this role you will: Reliability & Stability: Ensure stability and drive measurable reductions in production incidents and recurring incidents across GBME. Incident Management: Lead incident response, root cause analysis, and postmortems; enforce SLOs and reliability practices. Problem Management Ownership: Drive accountability across technology teams to complete corrective and preventative actions. Resiliency & Continuous Improvement: Proactively identify opportunities to improve resiliency, availability, and operational readiness. Leadership Reporting & KPIs: Translate technical data into business impact and risk narratives for executive audiences. Do you have th