Stability AI jobs

Generative AI Inference Engineer United States Generative AI Inference Engineer About the role: We are seeking passionate Machine Learning Engineers to join our Inference team, focusing on the creative applications of generative AI models. The ideal candidate will have substantial experience developing and running inference for multi-modal models. A deep understanding of diffusion model architectures and familiarity with workflow tools like ComfyUI are a big plus. You will be expected to leverage and push the boundaries of state-of-the-art inference optimization techniques for multi-modal generative models. This role offers the opportunity to work alongside top researchers and engineers, utilizing cutting-edge high-performance computing resources to make a significant impact in the rapidly evolving field of generative AI. Responsibilities: - Lead efforts to drive the design, development of customer-facing multi modal ML inference systems. - Work with the Platform and Inference teams on building inference systems for the next generation of models, where you will work on areas such as optimization, model tuning and deployment. - Partner with leading cloud providers to deliver hosted Stability AI inference solutions. - Be a strategic thought partner for leaders across the organization on driving business impact through machine learning - Be part of the team to bring new Stability models and pipelines into existence - Prototype and productionize inference platform improvements and new features Qualifications: - 7+ years working on productionizing machine learning systems, including inference pipeline development - Expert level knowledge on writing and running python services at scale - 5+ years working on python

Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio Los Angeles, CA or Remote (United States) Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D. As the Senior Product Engineer, Growth & Lifecycle Infrastructure , you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products - greenfield across web, desktop, plugin, and mobile. You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account. This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG - the systems, how they live inside the product, and how they drive real conversion. What you'll do… - Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements - including writing defensible recommendations with cost model and tradeoffs - Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device -

Senior AI Operations (AI Ops) Engineer Palo Alto, CA At Navan, we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture , a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava , our AI support engine, and a suite of cutting-edge generative tools for travel and expense management. As a Senior AI Operations (AI Ops) Engineer , you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency. What You'll Do Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores. High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency. Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization. Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user. Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.

AI Engineer AI Engineer

AI Research Engineer - AI Safety Berlin; London; Munich Who we are At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks. You will join a team focused on AI Assurance, where you will develop cutting-edge techniques for scalable evaluation of AI products across the company, design data collection and experimentation strategies to extract causal insights, and enhance responsible decision-making via uncertainty quantification and safety mechanisms. The Role At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with robustness against adversarial attacks and the highest standards of operational safety. You will be responsible for defining operational domains and evaluating the reliability of AI capabilities developed in-house. Your work will span the full assurance lifecycle: from characterising distribution shifts and failure modes, to developing and extending the state of the art in uncertainty quantification and calibration. You will interface deeply with our AI systems, design rigorous evaluation frameworks, and assess their robustness under real-world and adversarial conditions, collaborating across research, engineering, and product teams to translate assurance findings into actionable improvements. You should apply

Senior AI Engineer Senior AI Engineer

AI Developer - Finance Automation & Enterprise Integration India San Diego, California Principal AI Developer - Finance Automation & Enterprise Integration (India) About You: You're a seasoned AI professional with deep expertise in artificial intelligence and enterprise system integration, passionate about how generative AI and large language models (LLMs) can transform financial operations at scale. You embody our core values: Embrace the unknown: You lead with a "What if?" mindset, architecting innovative AI solutions that revolutionize traditional finance processes and enterprise workflows across global operations. Partner with purpose:You're excited to mentor teams, collaborate with global stakeholders, and use AI to drive measurable business outcomes across finance, operations, and technology departments. Passion for people: You understand that AI's true potential lies in empowering finance professionals, analysts, and business users to make faster, more informed decisions while maintaining human oversight. Collaborate for success: You excel in leading cross-functional initiatives, building consensus across time zones, and fostering a culture of transparency and integrity when handling sensitive financial data. You're a proven technical leader, comfortable with complex enterprise architectures, and excited by the challenge of scaling cutting-edge AI technologies across global business operations. What You'll Do: Within 30 Days Lead technical assessment of current AI automation infrastructure and identify optimization opportunities Establish relationships with global finance leadership, IT architecture teams, and regional stakeholders Conduct deep-dive analysis of existing SAP, Salesforce, and cloud platform integrations to identify AI enhancement opportunities Mentor junior developers and establish technical standards for the India AI development team Present strategic

Stability Program Lead Fareham, Hampshire, United Kingdom Stability Program Lead

AI Engineer

AI Engineer, AIOps & Infrastructure San Francisco | OnSite MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Your Role As a Senior Software Engineer, AIOps & Infrastructure at Eloquent AI, you will be responsible for designing, building, and optimizing scalable, high-performance AI infrastructure to support the deployment and operation of our enterprise AI agents. Your work will enable machine learning engineers and AI teams to train, fine-tune, and deploy LLMs efficiently while ensuring stability, observability, and performance at scale. You'll play a key role in automating LLMOps and MLOps workflows, optimizing GPU workloads, and ensuring resilient, production-ready AI systems. This role requires deep expertise in cloud infrastructure, Kubernetes, and LLM and ML deployment pipelines. If you're passionate about scalable AI systems and optimizing ML models for real-world applications, this

AI Engineer, Model Quality and Performance 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. About The Role You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use

Senior Engineer, Aerospace (R5002) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Flight Sciences team at Shield AI integrates stability & control, aerodynamics, performance, and aero-propulsion to redefine the limits of unmanned aviation. As a member of this team, you will bridge the gap between theoretical design and flight testing. We aren't just analyzing data; we are building the future of autonomous flight. If you thrive in high-tempo, collaborative environments where your work moves quickly from concept to reality, we want you on our team. Job Description: The Flight Sciences team at Shield AI integrates stability & control, aerodynamics, performance, and aero-propulsion to redefine the limits of unmanned aviation. As a member of this team, you will bridge the gap between theoretical design and flight testing. We aren't just analyzing data; we are building the future of autonomous flight. If you thrive in high-tempo, collaborative environments where your work moves quickly from concept to reality, we want you on our team. Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include

Stability Scientist Oslo posted: Posted Yesterday

Stability Coordinator Cambridgeshire, England, United Kingdom Due to continued growth and increased programme demand within our Melbourn cGMP laboratories, Intertek is expanding its operations team and recruiting for a Stability Coordinator to support ongoing pharmaceutical stability activities.

Data Governance- with Agentic AI/Gen AI BANGALORE, Karnātaka, India

AI Application Architect Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team The SRE team is dedicated to deeply integrating large language models (LLMs), AI Agents, and engineering platform capabilities to build an intelligent application system for R&D, operations, stability, and business scenarios. By creating an AI application architecture that is observable, evaluable, governable, and continuously evolving, the team is driving the company's shift from "tool-assisted" to "intelligent collaboration," improving R&D efficiency, system stability, fault diagnosis efficiency, and the quality of business decisions. What You'll

AI Machine Learning Engineer 4 Locations posted: Posted Today

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Laser Characterization, Temp Mountain View, CA Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world's first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! As a Laser Characterization Intern, you will focus on the fundamental performance, physics, and characterization of the semiconductor laser sources that power our photonic computing architecture. You will be responsible for executing State-of-the-Art (SOA) laser testing to ensure the highest levels of spectral purity and stability. Responsibilities - Perform hands-on characterization of semiconductor lasers, laser sources, and semiconductor optical amplifiers. - Measure and analyze laser and SOA performance metrics, including output power, wavelength, optical spectrum, side-mode suppression ratio, relative intensity noise, gain, saturation behavior, and wavelength/power stability. - Conduct LIV measurements and evaluate laser behavior across current, voltage, temperature, and operating conditions. - Perform wavelength and optical power stability measurements over time and across temperature. - Characterize optical spectra using optical spectrum

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Director, Stability Management, Analytical Development and Quality Control Redwood City, California, United States Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: Playing a critical role as the stability program lead, the position will be responsible for oversight and management of outsourced stability studies conducted. The director, stability is a self-motivated individual who works as a member of an integrated team contracting, designing, managing, and evaluating stability studies at contractors for both drug substance and drug product. This individual should have the breadth of experience required to manage stability studies in commercial, late and early clinical development stage. This individual should have broad knowledge of ICH and cGMP guidelines and the ability to contribute to global regulatory filings for stability. - Develop and implement the strategic direction of stability programs in alignment with ICH guidelines and regulatory expectations. - Oversee the design, execution, and management of stability studies (development, registration and commercial). - Work cross functionally with CMC, quality, regulatory, clinical

Specialist Stability India - Hyderabad posted: Posted 30+ Days Ago

Senior Staff Engineer, Aerospace (R5082) Dallas, Texas Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Flight Sciences team at Shield AI integrates stability & control, aerodynamics, performance, and aero-propulsion to redefine the limits of unmanned aviation. As a member of this team, you will bridge the gap between theoretical design and flight testing. We aren't just analyzing data; we are building the future of autonomous flight. If you thrive in high-tempo, collaborative environments where your work moves quickly from concept to reality, we want you on our team. Job Description: The Flight Sciences team at Shield AI integrates stability & control, aerodynamics, performance, and aero-propulsion to redefine the limits of unmanned aviation. As a member of this team, you will bridge the gap between theoretical design and flight testing. We aren't just analyzing data; we are building the future of autonomous flight. If you thrive in high-tempo, collaborative environments where your work moves quickly from concept to reality, we want you on our team. Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products