Stability AI jobs

Senior Staff Software Engineer-SRE Bengaluru, India Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As Senior Principal Software Engineer develop strategic methods and principles to improve the technical stability and efficiency of the company's products/services. You lead and influence several teams and initiatives. Your Mission - Design and build platforms, tools, and frameworks to improve system reliability, scalability, and performance. - Define and implement SRE best practices, including SLIs/SLOs, error budgets, and reliability metrics. - Lead incident response efforts, drive root cause analysis, and implement long-term fixes to prevent recurrence - Analyze system behavior, identify bottlenecks and saturation points, and implement solutions to improve resilience - Partner with engineering teams to embed reliability into the software development lifecycle - Evaluate emerging technologies and recommend tools that enhance productivity, observability, and

Software Dev Engineer II, Stores Foundational AI -SFAI Seattle, Washington, USA We're working to improve shopping on Amazon using the capabilities of large language models (LLM), and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities Key job responsibilities In this role you will leverage both your engineering and machine learning background to help develop generative AI for shopping. On a day-to-day basis, you will: - Design and implementation of a stable and efficient training system for model training and reinforcement learning that scale to various of model sizes and architecture. - Collaborate with other talented applied scientists and engineers to improve training efficiency and reliability that accelerates innovation. - Design and implement scalable data infrastructure: that handle Amazon-scale data ingestion, processing, and delivery across different training and evaluation stages; - Quickly learn and adopt state-of-the-art technologies and algorithms in the field of Generative AI. A day in the life On any given day, you may work on: Design and build end-to-end RL post-training pipelines (rollout → reward → optimization) at cluster scale Improve RL training stability (PPO / GRPO / RLOO) by monitoring and tuning key metrics such as reward, KL divergence,

Senior Machine Learning Engineer, Voice AI San Francisco About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward end-to-end speech-to-speech. - Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. - Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. - Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. - Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. - Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities - Optimize inference performance for voice models (STT,

Senior Supply Materials Manager Taiwan CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: You will join the Global Supplier Management and Technical Sourcing organization, a team responsible for ensuring CoreWeave's rapidly growing hardware demand converts into clear-to-build, on-time shipments. The team works cross-functionally with Strategic Sourcing, Engineering, Program Management, Operations, and a global supplier base to support aggressive AI infrastructure deployment schedules in a highly supply-constrained environment. About the role: As a Senior Supply Materials Manager, you will own end-to-end supply execution for one or more strategic OEM and ODM partners across multiple concurrent hardware programs. You will ensure allocation commitments, material readiness, and manufacturing capacity align with CoreWeave's deployment plans. This role operates at the intersection of operations, sourcing, engineering, and suppliers, requiring strong execution discipline and comfort navigating ambiguity. You will act as the single-threaded owner for supply execution, proactively identifying risks, driving recovery actions, and maintaining operational stability as new NVIDIA-based platforms ramp. Who You Are: - 8+ years of experience in materials management, supply execution, manufacturing operations, or supply chain roles within data center, hyperscaler,

Senior Machine Learning Engineer- LLMs & Self-Hosted AI Tel-Aviv, Israel We are looking for a highly skilled Senior Machine Learning Engineer to lead our transition from on-demand, third-party LLM APIs to a fully self-hosted, scalable model ecosystem. Our core product is an advanced, agentic support chatbot capable of complex reasoning, API tool calling, database lookups, and orchestrating specialized Small Language Models (SLMs) for targeted NLP tasks. As we scale, our current deployment infrastructure (AWS SageMaker) is becoming unsustainable. You will be responsible for architecting, deploying, and optimizing an infrastructure capable of supporting 50 to 100 distinct models ranging from 100M to 70B parameters. What You'll Do: Inference Optimization: Deploy and manage large-scale models using high-performance inference engines (like vLLM) to ensure low latency and high throughput for our agentic chatbot. Agentic Workflows: Develop and refine the chatbot's agentic capabilities, ensuring reliable tool-use, routing, and interactions between massive LLMs and specialized SLMs. Model Fine-Tuning: Design and execute fine-tuning strategies to improve model accuracy on specific domain tasks and tool-calling execution. Rigorous Evaluation: Build comprehensive offline and online evaluation frameworks to constantly measure model performance and business impact through structured A/B testing. What We're Looking For: Core Engineering & AI Frameworks Strong proficiency in Python and Bash scripting. Deep experience with PyTorch and the Hugging Face ecosystem. Experience using AI coding assistants natively in the terminal, specifically Claude Code , to accelerate development workflows. LLMs, Inference & Agents Proven experience deploying models using vLLM , TGI, or similar high-performance inference servers. Strong

AI Engineer 6 Locations posted: Posted 30+ Days Ago

Quality Engineer SDET Bengaluru, India Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge - This is a hands-on role which builds automation scripts for long term product scalability and stability - In this role, the resource is closely working with the product team to understand the functionality being developed and writes robust automation scripts and performance scripts to meet the acceptance criteria - As the resource matures in understanding the breadth and depth of product functionality, the resource should be able to bring in critical thinking to ask the “what if” questions to strengthen the tests - The role evaluates continuous improvement by improving the effectiveness of the automated tests - This role understands customer use cases and usage models in production to begin incorporating the right tests in the

Research, Post-Training 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 Post-training is the critical bridge between raw model capability and a system that is actually useful, safe, and effective in the real world. You will shape how our agents learn by iterating on training recipes, evaluations, and alignment methods that directly determine what Devin and our future systems can do. This role blends deep research and hands-on engineering. We don't distinguish between the two. WHAT YOU'LL ACCOMPLISH - Post-Training Recipe Development: Iterate on the full stack of datasets, training stages, and hyperparameters that determine model behavior. Measure how choices compound across evals and production performance, not just isolated benchmarks. - Evaluation Design and Integrity: Build evals that actually capture what matters. The loop never ends: define, optimize, realize the gaps, and rebuild. You'll be responsible for making numbers go up and making sure the numbers mean something. - Deep Understanding: When training produces results that don't make sense, you dig until you understand why. The goal isn't just to fix it; it's to carry that understanding forward

Senior Staff Software Engineer (Full Stack) Bengaluru, India Strength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down-it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge - Develop strategic methods to improve technical stability and efficiency of products/services - Lead and influence multiple teams and initiatives Your Mission - Deep understanding of the entire system; able to jump into any component and troubleshoot - Make decisions on product direction based on strong subject matter expertise - Own large components and set product direction - Think strategically and tactically aligned with technical and business goals - Define long-term roadmap across multiple product versions - Support initiatives beyond primary responsibility - Provide technical leadership to teams (3-4 individuals) - Build strong cross-functional relationships - Drive decisions considering multiple viewpoints - Mentor engineers with high-level guidance - Improve overall technical capability of the

Senior AI Agent Engineer 2 Locations posted: Posted 30+ Days Ago

Site Reliability Engineer (SRE) Palo Alto / San Francisco Bay Area About Mithril Mithril is an AI infrastructure platform built to make GPU compute more accessible and affordable for the world's leading enterprises, AI startups, and the AI research community, including LG AI Research, Saronic, and the Broad Institute (among many others). Founded by a former Google DeepMind research scientist and Stanford CS PhD, Mithril has raised $80M across seed and Series A funding led by Sequoia Capital & Lightspeed Venture Partners. Platform revenue has grown >6x over the past year, and we were recently recognized by Fast Company as the 8th Most Innovative Company in Artificial Intelligence for 2026. Our engineering team is lean and high-impact. This role is a core infrastructure hire that will shape how Mithril scales its platform across a heterogeneous, multi-cloud environment. About the Opportunity You will be a core contributor to the stability and performance of Mithril's global GPU orchestration platform. This is not a 'keep the lights on' role - you will build the automation, observability, and tooling that allows Mithril to coordinate advanced compute across multiple cloud providers at scale, ensuring customers have fast, reliable access to the infrastructure they need. You will work directly with our founding team on high-impact infrastructure decisions - from SLO design to capacity orchestration - with clear visibility into the technical and commercial dynamics of the business. What Makes This Role Different Most SRE roles at this stage are primarily reactive - on-call, incident management, keeping

Senior AI Infrastructure Engineer (Virtualisation) Australia or Singapore Role Summary Firmus is seeking a highly skilled and driven Senior Engineer to play a key role in designing, building, and operating software-defined infrastructure, including high-performance AI storage platforms. You will help evolve our Software Defined Infrastructure by building reliable, scalable solutions that power some of the world's largest and most innovative AI workloads. You will be instrumental in ensuring the stability, performance, and continuous improvement of our mission-critical control plane and storage infrastructure. Key Responsibilities - Design and implement a highly scalable, multi-tenant control plane that supports Firmus' growing AI and infrastructure needs. - Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file systems, and high-performance filesystems. - Work with bare-metal provisioning tools such as Base Command Manager, Warewulf, Ironic, MaaS, and similar platforms. - Apply a deep understanding of operating systems, computer networks, software-defined storage, and high-performance applications. - Work with technologies including RDMA, GPU Direct Storage, RoCE, InfiniBand, DPDK, Ceph, Weka, DAOS, and others. - Collaborate with operations teams to monitor, analyse, and optimise internal clusters and storage platforms. - Document architecture designs, operational procedures, and performance results. - Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance. - Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks. - Apply knowledge of Kubernetes and composable storage clusters. - Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks to optimise AI workload

Research Engineer, AI Safety & Alignment Redwood City, CA, Redwood City, California, United States About the role and team Joining us as a Research Engineer, you'll be at the forefront of tackling one of the most critical challenges in AI today: safety and alignment. Your work will be pivotal in understanding and mitigating the risks of advanced AI, conducting foundational research to make our models safer, and solving the core technical problems of AI alignment -ensuring our models behave in accordance with human values and intentions. The Safety team is dedicated to pioneering and implementing techniques that make our models more robust, honest, and harmless. As a Research Engineer, you will bridge the gap between theoretical research and practical application, writing high-quality code to test hypotheses and integrating successful safety solutions directly into our products. Your research will not only protect millions of users but also contribute to the broader scientific community's understanding of how to build safe, beneficial AI. What you'll do - Develop and implement novel evaluation methodologies and metrics to assess the safety and alignment of large language models. - Research and develop cutting-edge techniques for model alignment, value learning, and interpretability. - Conduct adversarial testing to proactively uncover potential vulnerabilities and failure modes in our models. - Analyze and mitigate biases, toxicity, and other harmful behaviors in large language models through techniques like reinforcement learning from human feedback (RLHF) and fine-tuning. - Collaborate with engineering and product teams to translate safety research into practical, scalable solutions

Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

Software Engineer II - Database Engineering Bangalore, India Job Title: Software Engineer II, Database Engineering Location: India, Hybrid This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India. ABOUT THE COMPANY: Clari + Salesloft are building the next era of enterprise revenue - one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we're building the industry's first Predictive Revenue System , enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won - the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue - and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY: At Clari + Salesloft, our Software Engineer II, DBE will be a key contributor to our company's success. You will join our fast-growing and high-performing Infrastructure team, focused on ensuring the stability and performance of our DataHub-the core of our Revenue Operations Platform. We are looking for an engineer who is passionate about database reliability, cloud automation, and data integrity, and who is eager

Fullstack Agentic AI Architect 2 Locations posted: Posted 30+ Days Ago

Production Engineer - Software Integration Munich Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams - and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role The Production Engineer - Software Integration ensures software runs reliably in live environments, focusing on stability, efficiency, and scalability by building automation, monitoring tools (observability), managing incidents, optimizing CI/CD pipelines, and collaborating cross-functionally to improve developer experience and product quality, bridging DevOps and Software Engineering. Key duties include troubleshooting, performance tuning, deployment automation, incident response, and security, ensuring seamless operations from code to production. The day-to-day - System Reliability & Performance: Ensure applications run reliably, efficiently, and securely in live production environments. - Automation: Develop and maintain automated deployment (CI/CD), testing, and scaling processes. - Monitoring & Observability: Build and manage monitoring systems to track application health, performance, and user experience. - Incident Management: Respond

Machine Learning Engineer, AI Models Cyprus Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent's AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You'll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid , based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. - Analyze model behavior and performance, and identify bottlenecks across

Senior Platform Engineer, Runtime (Auth0) Toronto, Ontario, Canada Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Runtime team enables Auth0 engineers to move faster by giving them the foundational infrastructure to deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come. We are looking for a Senior Engineer who is passionate about distributed systems, availability, and delivering customer value. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about low level infrastructure, operations, and not intimidated by cross-organization coordination and collaboration. You will: - Serve as the ultimate technical authority and final escalation point for advanced Kubernetes cluster troubleshooting, ensuring the continuous stability

Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

Member of Technical Staff, Reliability San Francisco | OnSite ABOUT US Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 12 people. We also raised our Series A earlier this year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. ABOUT THE ROLE We process petabytes of video across thousands of nodes and multiple cloud environments. As we scale, reliability, observability, and security become existential. We're hiring our first engineer fully dedicated to the infrastructure foundation of Sieve. This is a high-ownership role for someone who thinks deeply about: - throughput and system stability - monitoring and incident response - security and least-privilege design - reducing operational burden for the entire engineering team You'll work directly with our CTO and our founding engineers to build the core tooling that powers all of engineering. This role is for someone who spends their time thinking deeply about reliability, throughput, observability, and security. You're the kind of engineer who is always anticipating failure modes, eliminating operational

AI for Quantum Operations Lead Boston, MA, USA Role Summary The AI for Quantum Operations Lead owns the roadmap and execution strategy for AI-assisted calibration, diagnostics, prediction, and recovery across quantum systems, ensuring that AI improves machine uptime, calibration speed, and operator decision-making while deterministic control and safety software remain authoritative. Key Responsibilities - Define and drive the AI operations roadmap across calibration optimization, atom image/readout analysis, drift prediction, root-cause diagnosis, and recovery recommendation. - Partner with quantum systems, controls, software, hardware, and ML teams to identify high-value workflows where AI can safely propose, rank, predict, or optimize. - Establish the bounded-AI operating model: AI provides recommendations or constrained optimizations, while deterministic control software enforces timing, hardware limits, validation, rollback, and safety logic. - Prioritize AI pilots for Quokka, Calibration Manager, telemetry systems, readout pipelines, and QPU operations workflows. - Own requirements for dataset traceability, model validation, observability, offline replay, deployment gates, and operator-facing explainability. - Translate machine-performance pain points into measurable AI/ML objectives such as reduced calibration time, fewer failed jobs, faster recovery, improved readout quality, and better drift detection. - Coordinate cross-functional execution, staffing needs, milestones, risk reviews, and stakeholder communication. Required Background - Strong technical leadership experience in AI/ML, controls, robotics, scientific instrumentation, or complex hardware operations. - Experience bringing ML models into production environments where reliability, safety, traceability, and human/operator trust matter. - Ability to work across software, hardware, physics, and operations teams. - Strong systems thinking; understands where AI should help, where deterministic software must

Senior AI Engineer San Jose (CA) posted:

Site Reliability Engineer San Francisco, California, United States About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. About the Role We're looking for a Site Reliability Engineer to take the lead on scaling our operational resilience as we grow. You'll own the stability, observability, and debugging workflows that keep our systems running smoothly. You'll be the go-to person for untangling complex failures in real time, designing tools that turn chaos into clarity, and helping us shift from reactive to proactive operations. This is a high-impact, high-trust role where you'll shape how reliability is done - reducing incident load, building internal tooling, and directly improving developer focus and system uptime. If you love getting to the root of hard problems and making systems (and teams) stronger, this is your moment. Must-Have - 3+ years of hands-on experience debugging production systems (logs, traces, incidents, etc.) - Strong problem-solving