Research Engineer, Autonomy

1X, Palo Alto

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Target start date: Immediately. Relocation provided.
Since its founding in 2015, 1X has been at the forefront of developing advanced humanoid robots designed for household use. Our mission is to create an abundant supply of labor via safe, intelligent humanoids. At 1X, you’ll own critical projects, tackle unsolved research problems, deliver great products to customers, and be rewarded based on merit and achievement.
We are looking for a Research Engineer in Autonomy. In this role, you will train NEO to do autonomous, long-horizon tasks in unstructured environments.
Responsibilities

Full-stack engineering, from data engineering to model architecture design to shipping and monitoring models running across the fleet
Train NEO to do whole body manipulation and navigation tasks in unseen environments
Integrate frontier techniques in VLMs and generative models to predict actions
Work with controls, QA, and data collection teams to ship RL policies to the production fleet
Getting general-purpose robots to work in the home is just about the hardest problem one can work on. We are looking for people with the courage to tackle unsolved technical challenges with an intense work ethic.
4+ years of Python programming experience.
Strong empirical research abilities and a sense for what makes for high quality robot data

Nice to have

Advanced degree (MS or PhD) in Computer Science or related field
Published robot learning research in top ML conferences (NeurIPS, CoRL, RSS, ICML, etc.)
Experience writing testing infrastructure for data loaders and robotics datasets.

Sample Projects
We encourage you to apply even if you do not meet every single qualification. Here are some example projects you might work on at 1X. If you have direct experience in solving one of the “sample projects” listed below, please let us know in your cover letter.

Teaching virtual or physical agents to adapt in-context and retry tasks.
Using VLMs to automate large scale robotic dataset curation.
Teaching robots to learn from suboptimal episodes.

Compensation
At 1X your work and results will be rewarded with a total rewards package consisting of a base salary, stock options and benefits. Base salary range is $130,000 to $250,000. Your actual salary will be based on your knowledge, skills and experience.
Location Policy
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

Seniority level

Seniority level
Not Applicable

Employment type

Employment type
Full-time

Job function

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