# Senior Applied Research Engineer **Company**: CoreWeave **Location**: Bellevue, WA **Experience**: senior **Job type**: full-time **Salary**: $182,000 to $242,000 **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4666901006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b36d4fc1-bf4 ## Description ### Job Summary The Senior Applied Research Engineer will work on the OpenPipe team at CoreWeave, building tools to help agents learn from experience. This role involves generating and investigating research ideas to solve obstacles to continuous learning in production. ### Responsibilities - Generate and investigate research ideas towards solving the remaining obstacles to continuous learning in production - Work with the broader OpenPipe team to validate research directions across real customer tasks - Utilize GPU-rich resources to direct an enormous amount of compute at this effort - Collaborate on various aspects of the stack, from CUDA kernels to high-performance LLM tracing dashboards ### Requirements - Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field - 4+ years of experience in machine learning, or a PhD with 2+ years of relevant industry experience, with a strong focus on model training - Strong programming skills in Python and hands-on experience with modern ML frameworks such as PyTorch or JAX - Strong understanding of LLM post-training techniques, including supervised fine-tuning, reinforcement learning, and on-policy distillation - Experience developing, evaluating, and deploying machine learning models in production environments - Strong research and problem-solving skills, with the ability to work effectively in ambiguous, fast-moving environments ### Preferred Qualifications - Publications, open-source contributions, or demonstrated research impact in LLM post-training or agent learning - Experience with distributed training, GPU acceleration, and large-scale model training systems - Experience leading technically complex projects or mentoring other engineers ### Our Stack - Kubernetes - Megatron - Temporal - Postgres - FastAPI ### Benefits - Medical, dental, and vision insurance (100% paid for by CoreWeave) - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption ## Skills ### Required - Python - PyTorch - JAX - Machine Learning - LLM post-training techniques - Reinforcement Learning - Distributed Training - GPU Acceleration ### Nice to have - Publications - Open-source contributions - Research impact in LLM post-training or agent learning - Experience leading technically complex projects - Mentoring other engineers --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4666901006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)