…architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also…

…RL training - Human data processing, retargeting, pose estimation, SLAM - Passion for next-generation, scalable autonomy and robotics for real-world systems - Strong engineering and…

…demands - Construct robotic simulation environments at scale and use it for RL training - Process human data for robotic use cases - Work closely with Research…

…scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving…

…You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models…

…About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning…

…About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning…

…strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes…

…Minimum Qualifications 6+ years of experience in software engineering or machine learning (3+ years with a PhD). Experience designing and training LLMs or large…

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

…You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure…

…generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We…

…from Human Feedback (RLHF), and prompt engineering techniques Familiarity with training multi-modal foundation models Familiarity with cloud-based infrastructure and experience deploying large…

…In this role, you will apply your expertise in machine learning and software engineering to design, develop, and scale solutions that power the Netflix…

…pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE As a Software Engineer on…

…MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies. Possess solid software engineering skills, writing clean and well-structured code…

…Create robust CI/CD infrastructure for seamless endpoint deployment, image publishing, and inference engine updates. Accelerate research on scaling test-time compute, RL rollout…

…a passionate Research Engineer (AI/RL Infrastructure) to join the Research Group at Applied Intuition. This role is ideal for engineers who design, build…

…engineer on the Supercomputing Platform & Infrastructure team, you will design, build, and operate the large-scale GPU infrastructure that powers Magic’s model training…

About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and…