Machine Learning Research Engineer, Genai Applied Ml

Scaleai

San Francisco, CA, US
$189,600 - $237,000 usd py
On-site
Multi-agent systems
Agentic reasoning validation
Llm reliability
Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs

Job Summary

  • Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs.
  • Build and deploy multi-agent systems for agentic reasoning validation and develop pipelines to detect errors and scale human judgment.
  • Combine classical ML, LLMs, and multi-agent techniques for reliability, leading research into agent failure modes and shipping fixes.

Matching Summary

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs.

Salary

$189,600 - $237,000 USD

Skills & Requirements

Must-have

  • multi-agent systems
  • agentic reasoning validation
  • LLM reliability
  • production ML systems
  • PyTorch, TensorFlow, JAX, or scikit-learn
  • AWS/GCP microservices

Nice-to-have

  • prototyping agent evaluation systems
  • human-in-the-loop pipelines
  • open-source contributions
  • publications on agent reliability

Key Requirements

  • PhD or MSc in Computer Science, Mathematics, Statistics, or related field
  • 3+ years shipping scaled production ML systems
  • Demonstrated real-world impact
  • Strong software engineering skills
  • Rapid, data-driven iteration
  • Proficiency using AI tools

Work Rights

Not specified

Tailored Resume

Cover Letter