Staff Machine Learning Engineer, Agentic Systems

As seen at CES 2026, Atlas is the robot that is transforming the role of humanoid robots in our world. This is your chance to come and work on the cutting edge of robotics, and make a direct impact on how people will interact with humanoids now and in the future.

The Atlas Applications team is seeking an experienced Staff Machine Learning Engineer with expertise in building agentic systems. In this pivotal role, you will work on System 2 – the planning and reasoning layer that sits above robotic control – enabling humanoid robots to perform long horizon tasks in dynamic environments.

You will work closely with behavior engineers to design and build Atlas’ agentic architecture – empowering robust autonomy through the use of task prompts, long-horizon planning, VLM inference, memory, and tool use.

Candidates who have built advanced coding agents, autonomous research agents, or multi-step ...