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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Apply on www.juju.com
Prepare application
- Draft this with your agent
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