AI Residency

On-site
- Sunnyvale, California, United States
Internships

Job description

Target start date: 3-6 months. Relocation provided.

We are 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. As we transition from R&D to full-scale manufacturing, we are currently seek an AI resident. The AI residency role involves developing full-stack infrastructure for simulation, data management, and learning. This work is like building a self-driving car - and all the technical challenges that it entails - except that the robot must also deliberately come into contact with the world (when manipulating objects and doors).

Why this job is exciting

Your role on the team will be to scale up robot learning algorithms on state-of-the-art hardware
You will get to deploy code to androids at customer sites
We aim to (1) double the number of tasks the androids can perform and (2) half the error rate on existing tasks, quarter over quarter
The team works closely together to scale up a single approach to a production-ready system, rather than publishing research papers

Responsibilities

Day to day: scale up datasets used for training end-to-end navigation and manipulation
Build the “data engine” (frontend UI and backend) to review logs, clean, and label data
Extend simulation infra to generate useful data for the real world and close the sim-to-real gap
Work with our data operations team to test out research ideas in sim and real world
Ship new capabilities to androids deployed in customer sites

Job requirements

Must-Haves

Bachelor’s degree in Computer Science or equivalent. We're mostly looking for graduate-level students, but are willing to consider exceptional undergraduates who have a lot of related research experience
2+ years of relevant work experience or equivalent
Proficiency working with large codebases in Python, including testing
Ability to rapidly prototype ideas in code in an independent manner
Familiarity with linear algebra and supervised machine learning
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
Perseverance

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$ 8,000 to 12,000 per month.

Location

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

Sunnyvale, CA

We are in the heart of the SiIlicon Valley in a commuter-friendly location with plenty of parking, access to 101 or 280. If you prefer public transportation, Orange Line (VTA) light rail station is across the street. Living in the Bay Area, you will have access to many activities available in its proximity from surfing in Half Moon Bay to skiing at Tahoe, wine tasting in Napa, hiking on the many trails or other sports activities on the many tennis courts, golf courses, etc..

If you are relocating to Sunnyvale, we offer a comprehensive relocation package to support you and handle the logistics of your move.

Typical interview process

Introductions - interviews to learn more about you and talk about 1X and the role
- Interview with a member of the Talent Acquisition team
- Hiring manager / senior team member / technical interview
Team interviews - technical interviews and deep-dives with team members. May include a take home challenge, presentation or problem-solving exercise
- Technical deep-dive conversation with a team member
- Onsite interviews with team members
Final stages - you move to the final round
- Expectation management with the hiring manager
- We will conduct reference checks
- Job offer conversation

Depending on the role and your background, additional interviews may be added.

You are also welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.

Not sure if this is you?

If you’re excited about this role, but you’re not sure if you qualify, apply anyway! You may be just the right candidate for this or other roles.

A value driven team
These are the ideas that express our team’s culture and how we work:
Be Nice
Collaboration is our driving force. Our team creates an open, trusting environment where everyone can be their most creative.
Stay Smart
A world-changing team needs the brightest minds in every discipline. This is where people come to work, learn, and grow to their full potential.
Make History
Everything we do gets us closer to one ambitious vision: Creating an Abundant Supply of Labor using Safe, Intelligent Humanoids. We believe what we build today will impact generations.

1X is an inclusive and equal-opportunity employer that values diversity. We consider all qualified applicants regardless of race, religion, gender, age, sexual orientation, disability, or any other protected class. If you have a disability or special need that requires accommodation, please don't hesitate to let us know during the interview process. We will do our best to accommodate your needs.

We're excited to have you on board!

Explore Careers at 1X.Our mission is to design Androids that work alongside people, to meet the world’s labor demands and build an abundant society.

1X Android EVE Manufacturing Hall in Moss