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CoreWeave

Staff Applied ML Engineer

CoreWeave · Sunnyvale, CA / Bellevue, WA

Posted about 2 months ago · $185,000 to $275,000

or apply directly on CoreWeave's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
CoreWeave's roles stay open a median of 66 days
Reposted
No
Salary listed
Yes
94% of CoreWeave's roles list one
Ghost-job risk at CoreWeave
high
246 stale, 8 reposted of 293 open
Hiring momentum
403 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from CoreWeave's own greenhouse board since 2026-08-03. Full hiring picture for CoreWeave.

About this role

As a Sr. Applied Research Engineer II at CoreWeave, you will focus on developing and validating research ideas to overcome challenges in continuous learning for AI agents. You will leverage your expertise in training large language models (LLMs) and work closely with the CRAFT team to implement solutions that enhance agent performance. The role involves hands-on work across various technical areas, from CUDA kernels to high-performance dashboards, in a fast-paced, innovative environment.

Our read on this posting4.0out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CoreWeave as an employer.

What you need

  • 8+ years of experience in machine learning or applied research, or a PhD with 4+ years of relevant industry experience
  • Demonstrated success developing LLM training methods or systems that produce meaningful improvements on real-world tasks
  • Deep expertise in LLM post-training, including supervised fine-tuning, reinforcement learning, on-policy distillation, reward modeling, and policy optimization
  • Strong research judgment, including the ability to identify high-impact problems, design rigorous experiments, and make decisions from ambiguous results
  • Experience taking research ideas from initial hypothesis through implementation, evaluation, and production deployment
  • Proven ability to set technical direction, lead complex cross functional initiatives, and mentor other engineers

Nice to have

  • Publications, open source contributions, or other demonstrated research impact in reinforcement learning, LLM post-training, or agent learning
  • Deep experience with distributed training, GPU optimization, and large-scale model training systems

What you get

  • 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

Worth weighing

  • The role involves a significant amount of learning on the job, which may be challenging for some candidates.
  • The position is described as having substantial technical risk, indicating potential uncertainties in project outcomes.
  • The team operates with a high degree of autonomy, which may require self-motivation and independent decision-making.

Summarised from CoreWeave's posting. Read the full original.

Listed by CoreWeave on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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