Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI

Scale AI · San Francisco, CA; New York, NY · Enterprise Engineering · listed October 31, 2025

The shape of it

Seniority
Not stated
Where
Not stated
Stated pay
$264,800 – $331,000 USD
Requirements listed
1
Length
816 words

In the posting’s own words

The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms.

What it asks for · 1

  • PhD or Masters in Computer Science or a related field

Degree language

  • PhD or Masters in Computer Science or a related field

Tools and skills named

Models & research
  • LLM2×
  • Machine learning
Data
  • Data pipelines

Words the posting leans on

  • agents8×
  • data5×
  • enterprise5×
  • building4×
  • research4×
  • algorithms3×
  • art3×
  • post-training3×
  • state3×
  • agent-building2×
  • applications2×
  • around2×
  • cutting edge2×
  • improve2×
  • production2×
  • proprietary2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

The posting, your resume, and the gaps between them. One click loads all three.

More open at Scale AI

every open role at Scale AI

How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Scale AI on August 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.