Menlo Fellows

The Role Menlo builds open source and production AI systems, from the brain, to developer facing tools to the runtime infrastructure and humanoid platform underneath. This fellowship is deliberately open ended: tell us your strengths and we'll match you to high impact work across software engineering, systems, applied AI, or research. You'll be hands on from day one, with a Menlo engineer or researcher directly responsible for your mentorship and your results. You own deliverables at the same level as the team you join. We expect you to contribute, not observe.

This is a paid internship program that runs year round. Candidates go through a rigorous interview process and get matched with a senior researcher or engineer working on real world problems.

What You'll Do

• Own a real project end to end, from problem definition through implementation, testing, and documentation.
• Ship production grade work in one or more areas: product engineering, systems, infrastructure, applied AI, or research.
• Work on core Menlo projects, including developer tooling, model runtime and performance, automation, and reliability improvements.
• Debug real issues across codebases and environments, and propose fixes that improve correctness, performance, and maintainability.
• Write clear docs, runbooks, or internal notes that make your work easy for the team to adopt.
• Collaborate closely with engineers and researchers through code reviews and technical discussions.

What We Look For

• University, high school or mid-career individuals looking for a crash course in physical AI and robotics
• The ability to read unfamiliar codebases and make safe, well scoped changes.
• Practical debugging skills: you can isolate problems and validate fixes.
• A grasp of software or hardware engineering basics: testing, version control, and review.
• A high ownership mindset and the ability to work independently with fast feedback loops.
• Above all, we hire for slope: how fast you grow matters more than where you start.

Logistics

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