Note: this is a fixed-term role of 3-6 months.

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.

Vertical integration enables hardware, software, and AI to work together in a seamless and magical product experience, and thus we design and produce every part in-house—from motor coils to AI. 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 believe the best work is done when collaborating and therefore require in-person presence in our office locations.

As we scale from research and development to full-scale manufacturing, we are looking for an AI resident. The AI residency role is a fixed-term role involves developing full-stack infrastructure for simulation, data management, and learning within the AI team. Unlike a typical internship, AI Residents tackle projects with the same scope and difficulty as those worked on by full-time employees. 

Responsibilities:

• Bring cutting edge ideas from the AI & Robotics research community into our products and scale them up with the largest humanoid robot dataset ever collected.
• Build evals that benchmark open-source models on tasks useful to 1X.
• Build the “data engine” (frontend UI and backend) to review logs, clean, and label data
• Ship new capabilities to robots deployed in customer sites

Must-Haves:

• 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
• Bachelor’s degree in Computer Science or equivalent. We're mostly looking for graduate-level students in ML and Robotics programs, but are willing to consider exceptional people
• Proficiency working with large codebases in Python, including testing
• Ability to rapidly prototype ideas in code in an independent manner
• Experience with Deep Learning Frameworks (Pytorch, TF, JAX, etc.)

Nice-to-Haves:

• Fast thinker and learner
• Highly independent code contributor
• Capable of performing world-class machine learning research but willing to work on infra and operational scaling of the fleet when needed
• Good judgement in scoping research problems and infrastructure

Added Bonuses:

• Robotics and ROS experience
• Has built large programming projects on their own for fun (e.g. open source projects)
• Systems programming
• Training large-scale ML models such as visual foundation models, large language models, pixel-level generative models
• Published robotics research in top ML conferences (CVPR, ICML, ICLR, etc.)

Compensation

The target compensation range for this role is US$ 10,000 per month.

Location Policy

We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

We're excited to get to know you and the prospects of having you on board!