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Scale AI

Staff/Senior Machine Learning Research Engineer

Scale AI · San Francisco, CA; New York, NY

Posted about 2 months ago

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

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 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 Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Staff Machine Learning Research Engineer at Scale, you will tackle diverse machine learning challenges across the Applied Intelligence Systems team, focusing on agentic AI applications. Your responsibilities will include training and fine-tuning models, designing evaluation systems, and building internal tools to enhance productivity. This role requires a hands-on approach to research and engineering, where you will set technical directions and mentor other engineers while actively contributing to production systems.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

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 Scale AI as an employer.

What you need

  • 5+ years of experience as an ML engineer or applied/research scientist
  • PhD in Computer Science, Electrical Engineering, or a related field
  • Broad, hands-on fluency across the agentic ML stack
  • Demonstrated ability to move across problem areas
  • Track record of partnering with software engineers to productionize research
  • Track record of setting AI/ML technical direction

Nice to have

  • Published research, open-source contributions, or patents in agent training methods
  • Experience with online learning, continuous fine-tuning, or automated data/curriculum generation
  • Experience with model or systems optimization
  • Experience working in regulated or enterprise/government contexts
  • Track record of taking a novel training method or agent architecture from prototype to production

What you get

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • commuter stipend

Worth weighing

  • no salary listed for specific experience levels
  • role involves moving across various problem areas, which may require quick adaptation
  • the position may involve navigating ambiguous requirements

Summarised from Scale AI's posting. Read the full original.

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

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