Moss, Norway
AI Residency
Target start date: 3-6 months. 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.
We strive for excellence in all we do, solving some of the hardest problems in robotics with the world’s most talented individuals. Every part of our robots is designed and produced in-house—from motor coils to AI—reflecting our vertically integrated approach. At 1X, you’ll own real projects, be recognized for your achievements, and rewarded based on merit.
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 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
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!