Menlo Research jobs, judged for you, free

What they do

Menlo Research is an applied research lab. It builds Asimov, an open-source humanoid robot platform, and the software that runs it. Its mission is to make humanoid labor pay for itself. Menlo also makes Jan, an open-source AI assistant that runs open models on your own computer. Menlo says that Jan has 7 million downloads.

What they value

• "Robots of No Nation": build for people everywhere.
• Proven, low-cost technology used in new ways.
• Perpetual optimism: technology, handled well, makes the world better.
• Building for decades, not quarters.
• Small, autonomous teams that own their work end to end.
• Hiring for slope: how fast you grow matters more than where you start.

Where they hire

Of 20 roles, 17 are in Singapore and 11 are in Palo Alto. Many roles list both. Two Jan engineering roles are in Ho Chi Minh City, and a quality role is in Shenzhen. Most roles are hybrid, and none is fully remote. The Menlo Fellows program does not give visa sponsorship. No other posting mentions the right to work.

Teams and roles

Menlo has offices in Singapore, its first, Ho Chi Minh City, and Palo Alto. It calls itself a small, distributed team, and it is bootstrapped. Team members get share options.

• Brain: researchers in locomotion, manipulation, robot learning, and world models. They train policies for Asimov and test them on real robots.
• Hardware: electrical, mechanical, and firmware engineers, an industrial designer, and a product quality engineer who works with factories.
• Platform: a robotics AI engineer, a designer, and a product manager for the agent harness for robots.
• Jan: a backend engineer for Jan Router, a gateway for LLM providers, and an application engineer for the Jan desktop app.
• Deployments: a forward deployed engineer and an enterprise deployment lead.
• Marketing and sales: a lead to start an online shop, and a storyteller for new media.

Menlo Fellows is a paid internship of at least three months. It is open to students and to people in mid-career.

What they look for

Research roles ask for hands-on reinforcement learning, and for policies that run on real robots, not only in a simulator. They ask for Python, MuJoCo or Isaac, and ROS2. The world models role asks for knowledge of JEPA, a self-supervised learning method.

Hardware roles ask for three or more years on complex electromechanical products. The mechanical role asks for SolidWorks, and the electrical role for motor drivers and DC power systems. The Jan roles ask for daily work with AI coding agents. The backend role asks for knowledge of LLM APIs, and the application role for React, Node.js, Rust, and Tauri.

Menlo asks everyone to be curious and to use AI as a real collaborator in their work. Many roles prefer experience with humanoid or legged robots.