…Strong software engineering fundamentals, and the ability to work independently on ambiguous, loosely specified problems. - Bonus: experience with Harbor environments and RL environments. WHY…

…Hands on experience with reinforcement learning, preference optimization, SFT, RLHF/RLAIF, or other post-training techniques for LLMs. - Experience optimizing LLM agents for cost…

…modes into programmatic guardrails and training signals (e.g., SFT, RLHF/DPO). This role blends deep ML engineering expertise with strong analytical judgment to…

…Optimize and scale the RL training pipeline for faster iteration, contributing to core infrastructure for high-throughput simulation and distributed training. Mentor junior engineers…

…production repositories and infrastructure with an auditable record of what they did and why. About You 3+ years of software engineering experience (or 2…

…scientific ML - Hands-on experience training large-scale models (vision, language, or multimodal) with distributed compute - Strong software engineering fundamentals: system design, performance optimization…

…committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's infrastructure fleet spans a…

…large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s…

…The role sits at the intersection of software engineering, infrastructure, and security. You will work closely with researchers, infrastructure engineers, and platform teams to…

…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…