Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI

Scale AI · San Francisco, CA; New York, NY · Applications Platform Engineering · listed February 10, 2026

The shape of it

Seniority
Staff
Experience asked
5+ years
Where
Not stated
Stated pay
$264,800 – $331,000 USD
Requirements listed
8
Length
1,007 words

In the posting’s own words

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

What it asks for · 8

  • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
  • Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
  • Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
  • Experience building systems that integrate models with external tools, APIs, databases, and services.
  • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
  • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
  • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
  • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.

Degree language

  • Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.

Tools and skills named

Models & research
  • LLM4×
  • Machine learning4×
  • Fine-tuning2×
  • Reinforcement learning
Cloud & infra
  • Observability
Languages
  • Python
Ways of working
  • Cross-functional

Words the posting leans on

  • agent14×
  • systems10×
  • experience7×
  • enterprise6×
  • data4×
  • design4×
  • production4×
  • tool4×
  • constraints3×
  • customers3×
  • deploying3×
  • evaluation3×
  • experience building3×
  • llms3×
  • machine learning3×
  • models3×

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.

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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 13, 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.