Senior Machine Learning Engineer

Harrison Clarke
San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Software Debugging Distributed Systems Machine Learning Routing Large Language Models Agentic-AI

Job description

  • Design, build and iterate on agent architectures: planning, tool use, routing, memory, verification, and long-horizon execution
  • Own the data/knowledge layer that agents depend on
  • Improve performance and reliability
  • Collaborate with post-training and evaluation to align model behavior with the enviroments the agents run in

Requirements

  • Strong intuition for machine learning and LLM systems.
  • Experience building and deploying LLM-powered applications or agents under real-world reliability and performance constraints.
  • Ability to reason from first principles and debug complex, stochastic, and distributed system failures.
  • Comfort operating across research, product, and infrastructure boundaries in fast-moving environments.
  • Excellent software engineering fundamentals, including ownership of production-quality codebases and collaborative development practices.

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