…scale RL training infrastructure (distributed training, GPU clusters) - Strong communication skills and ability to work across disciplinary boundaries (ML, controls, mechanical engineering) Amazon is…

Reality Labs (RL) is bringing Meta's vision to life through virtual reality (VR), augmented reality (AR), and wearable technology. Meeting the demanding compute…

…The best infrastructure engineers here are proactive, not reactive. EXCEPTIONAL CANDIDATES HAVE DEMONSTRATED - Deep experience building and operating distributed training systems for large models…

…Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build…

SENIOR SOFTWARE ENGINEER, MACHINE LEARNING INFRASTRUCTURE - GENERATIVE AI ABOUT THE TEAM Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the…

…Develop training toolkits, demo scripts, reference architectures, technical blogs, and whitepapers that empower the global sales force, partner engineers, and the broader developer community…

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our…

…designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle…

…senior engineers and ML researchers. Familiarity with how models are post-trained and evaluated, including agentic scaffolds and container-based rollout infrastructure. Excellent stakeholder…

…train the next generation of software engineering agents. You will serve as the product owner for coding initiatives, driving task design, environment infrastructure, expert…

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…

…Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines. Collaborate closely with AI researchers, HW and…

…Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines. Collaborate closely with AI researchers, HW and…

…This includes scaling ladders for pre-training, data mix optimizations and RL recipes (preferences) for post-training. Engage with the wider research community on…

We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme…

…production repositories and infrastructure with an auditable record of what they did and why. About You 5+ years of software engineering experience (or 4…

…SENIOR SOFTWARE ENGINEER — CORTEX TRAINING The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside…

…a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays…

…Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation. Develop and maintain core RL infrastructure, including scalable training…

…building infrastructure, tooling, or frameworks for machine learning research or RL workflows Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines Experience…

…Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines Experience building…

…ABOUT THE ROLE We're hiring a Software Engineer II to help build our Reinforcement Learning Environments (RLE) platform—the interactive systems where frontier…

…Experience leading organizations building distributed systems, platform infrastructure, AI platforms, or large-scale software products. - Experience partnering with US engineering teams: Proven success working…

…of training infrastructure and distributed paradigms (e.g., FSDP, Megatron, JAX/Pax) required for training massive models reliably. Expert-level software engineering fundamentals using…

…MINIMUM QUALIFICATIONS: - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 5+ years of experience in a software engineering role, with…