Senior Applied AI Research Engineer - Self-Improving Agents

CoreWeave; Bellevue (WA); On-site; USD 207,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with generous match

Equity awards

Tuition reimbursement

Flexible PTO

Catered lunch daily

Job summary

CoreWeave's OpenPipe team is seeking an applied research engineer to advance continuous learning for self-improving agents. You will generate research ideas, validate directions across real customer tasks, and harness a GPU-rich stack to push production-ready solutions.

You should have 8+ years in ML or a PhD with 4+ years, with deep expertise in LLM training methods, supervision, RL, and policy optimization, and proven ability to lead cross-functional initiatives and mentor peers.

Qualifications

• 8+ years of experience in machine learning or applied research, or a PhD with 4+ years of relevant industry experience.
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Responsibilities

• Generate and investigate research ideas towards solving remaining obstacles to continuous learning in production.
• Validate research directions across real customer tasks with the broader OpenPipe team.
• Leverage GPU compute to drive experiments and production deployments.
• Collaborate across engineering to ship robust AI capabilities.

Skills

ML / Applied research

LLM training methods

Reinforcement learning

Production deployment

Cross-functional leadership

Mentoring engineers

Education

PhD with 4+ years experience

Tools

Megatron

Kubernetes

Temporal

Postgres

FastAPI

Job description

CoreWeave's OpenPipe team is seeking an applied research engineer to advance continuous learning for self-improving agents. You will generate research ideas, validate directions across real customer tasks, and harness a GPU-rich stack to push production-ready solutions.

You should have 8+ years in ML or a PhD with 4+ years, with deep expertise in LLM training methods, supervision, RL, and policy optimization, and proven ability to lead cross-functional initiatives and mentor peers.