CoreWeave
Senior Applied ML Engineer
$182K–$242K
Bellevue, WA / Sunnyvale, CA +2 · Senior · Full-time · Posted Mar 25, 2026
- Location
- Bellevue, WA / Sunnyvale, CA
Bellevue, WA
Sunnyvale, California, United States - Experience
- 4+ years in machine learning with a strong focus on model training, or a PhD with 2+ years of relevant industry experience.
- Education
- Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field.
- Visa sponsorship
- Requires eligibility to access export-controlled information: U.S. person status, eligibility to access without export authorization, or eligibility and reasonable likelihood of obtaining the required authorization. CoreWeave may decline to pursue export licensing.
About the job
Researches and builds methods for continuous learning in production, validating LLM post-training and agent-learning ideas on customer tasks.
What you'll do
- Generate and investigate research ideas to overcome obstacles to continuous learning in production.
- Validate research directions with the broader CRAFT team across real customer tasks.
- Develop, evaluate, and deploy machine-learning models in production environments.
What they ask for
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related technical field.
- Strong programming skills in Python and hands-on experience with PyTorch or JAX.
- Strong understanding of LLM post-training, including supervised fine-tuning, reinforcement learning, and on-policy distillation.
- Experience developing, evaluating, and deploying machine-learning models in production environments.
Nice to have
- 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.
Pay
$182,000 to $242,000 USD base salary
Tools
Python, PyTorch, JAX, Kubernetes, Megatron, Temporal, Postgres, FastAPI
AI focus
Developing methods and tools for self-improving agents, including research on continuous learning in production, LLM post-training, reinforcement learning, and agent learning.
Model-written summary · the original posting is authoritative