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Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Engineer, RL Training Infra”. A match may be a passing mention rather than the job itself. Titles only.
211 roles across 223 listings · show every listing · page 1 of 9
…ABOUT THE ROLE This role focuses on keeping our frontier RL training runs fast, reliable, and unblocked. You will work across engineering and infrastructure…
…multi-hour agentic tasks in investment banking and corporate law, real professional accounting workflows, real-world software engineering, and graduate-level science. Every APEX…
…Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many…
…In this role, you will sit at the intersection of software engineering and model training: writing high-velocity production code to create rich interactive…
…GPU-based simulator to train reinforcement-learning agents across thousands of parallel environments Develop the tooling that underpins RL training, including domain randomisation, to…
…software engineering or research developing machine learning models with frameworks such as JAX, PyTorch, or TensorFlow. Experience conducting post-training, reinforcement learning (RL), or…
…LLMs in long-horizon reasoning, planning, and tool use for complex software engineering tasks. Design and implement novel agentic architectures, exploring frontiers such as…
Annapurna Labs, designs custom silicon powering AWS’s cloud infrastructure. Custom SoCs live at the heart of Amazon ML servers — including Inferentia and Trainium…
…3+ years of software engineering experience, with meaningful experience in infrastructure, platform engineering, or SRE roles. Experience operating distributed systems in production and keeping…
…Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality…
…Develop, pre-train, and fine-tune in-house LLMs and multimodal foundation models. Apply SOTA post-training alignment techniques (SFT, RLHF, DPO) to maximize…
…REQUIRED QUALIFICATIONS Production Infrastructure Experience: 7+ years of software engineering experience with a proven track record of designing, building, and operating production-scale machine…
…s engineers or their leadership - Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it…
…As a Senior Fullstack Software Engineer on the Studio Experience team, you'll own the Studio user journeys end-to-end: the React frontend…
…onboarding on RL2 software and L&D processes Rename courses to pull through to reports effectively Create simple courses within the training database Assist…
…Training, RL & Evaluation Infrastructure • Build and scale the offline inference systems behind post-training — high-throughput rollout generation and reward-model serving for reinforcement…
…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…