PitchMeAI Jobs
Scale AI

Senior / Staff Machine Learning Research Scientist, Agents

Scale AI · San Francisco, CA; Seattle, WA; 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

The Senior/Staff Machine Learning Research Scientist role focuses on advancing AI agents by studying essential data types and guiding data strategy at Scale AI. The position involves conducting impactful research, collaborating with customer researchers, and working with engineering teams to translate findings into scalable solutions. Candidates will engage in developing and evaluating intelligent, adaptable AI agents across various environments.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
4/5
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

  • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow
  • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
  • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development
  • Strong written and verbal communication skills and the ability to operate cross-functionally

Nice to have

  • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax
  • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents
  • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
  • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH
  • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential for commuter stipend
  • Equity-based compensation

Worth weighing

  • No specific mention of the tech stack beyond LLM frameworks
  • Compensation range is provided, but actual salary will be determined during the interview process
  • Role requires creativity in addressing novel challenges, which may imply a fast-paced and evolving work environment

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.

More roles at Scale AI

All 217 open roles at Scale AI →