Machine Learning Research Engineer, Genai Applied Ml

Scale

San Francisco, CA, US
Base: $189,600 - $237,000 usd; equity: included ba...
On-site
Deep expertise in agentic llms
Mastery of pytorch or tensorflow
3+ years shipping production ml systems
This role leads applied ML engineering to power data infrastructure for leading agentic LLMs like ChatGPT and Gemini

Job Summary

  • This role leads applied ML engineering to power data infrastructure for leading agentic LLMs like ChatGPT and Gemini.
  • The team focuses on building scalable multi-agent systems to validate reasoning and drive research into real-world agent reliability failures.
  • Scale offers competitive compensation including base salary, equity, comprehensive health benefits, and a learning and development stipend.

Matching Summary

This role leads applied ML engineering to power data infrastructure for leading agentic LLMs like ChatGPT and Gemini.

Salary

Base: $189,600 - $237,000 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, PTO, and learning stipend

Skills & Requirements

Must-have

  • Deep expertise in agentic LLMs
  • Mastery of PyTorch or TensorFlow
  • 3+ years shipping production ML systems
  • Strong software engineering and microservices
  • Experience with AWS or GCP cloud platforms

Nice-to-have

  • Open-source contributions in agent alignment
  • Publications on agent reliability at top venues
  • Experience prototyping evaluation systems
  • Human-in-the-loop annotation pipeline work

Key Requirements

  • PhD or MSc in Computer Science, Mathematics, or Statistics
  • 3+ years experience shipping scaled production ML systems
  • Demonstrated real-world impact in AI applications

Work Rights

Not specified

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