1X Technologies AS
Research Engineer, Reinforcement Learning
1X Technologies AS, Sunnyvale, CA
Targeted start date: Immediately. 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 seek an experienced Research Engineer, Reinforcement Learning. We are currently seeking a highly skilled and motivated Research Engineer to join our team. Research Engineers in reinforcement learning are generalists who develop reinforcement learning algorithms for humanoid locomotion and manipulation policies. A typical day involves prototyping reinforcement learning algorithms or building distributed infrastructure for training and simulation. You will own the RL policies and train in both sim and real to bring capabilities to NEO. You will integrate and distill RL policies and data into foundation model training. You will work closely with other AI team members and also develop independently.
Why this job is exciting
Responsibilities
Must-Haves
Nice-to-Haves
Compensation
We offer a total compensation package including base salary from US$105,000 to US$250,000 annually, with generous stock options and other benefits.
We seek the world's most talented individuals with a passion for inventing and building a more prosperous future. At 1X you'll get to own real projects and be rewarded for your achievements and output. We hire, recognize and reward based on merit. We believe the best work is done when collaborating and therefore require in-person presence.
Interview process
Introduction Stage - we have initial conversations to get to know you better
Team Interview Stage
Final Interview Stage - we move you to our final round
You are 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?
Studies have shown that women are less likely to apply to jobs unless they meet all qualifications. 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.
Location
This position is based in Sunnyvale, California, USA, at our newly renovated AI headquarters. We offer visa sponsorship for exceptional candidates. Joining our team means becoming a valued member of one of the biggest brands in humanoid robotics, where you'll play a part in shaping the future of general purpose androids.
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: general-purpose androids helping people around the globe. 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!
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 seek an experienced Research Engineer, Reinforcement Learning. We are currently seeking a highly skilled and motivated Research Engineer to join our team. Research Engineers in reinforcement learning are generalists who develop reinforcement learning algorithms for humanoid locomotion and manipulation policies. A typical day involves prototyping reinforcement learning algorithms or building distributed infrastructure for training and simulation. You will own the RL policies and train in both sim and real to bring capabilities to NEO. You will integrate and distill RL policies and data into foundation model training. You will work closely with other AI team members and also develop independently.
Why this job is exciting
- Your role on the team will be to build RL algorithms in simulation and real and integrate RL into the overall learning picture
- You will work across the AI stack and solve gaps in model training and inference
- We aim to (1) double the number of tasks the robot can perform and (2) half the error rate on existing tasks, quarter over quarter
- The team works closely together to prioritize direction and scale up a single approach to a production-ready system
Responsibilities
- Day to day: build RL algorithms to bring generalized capabilities to NEO
- Work with our robot operations team to scale up our datasets and model capabilities
Must-Haves
- Bachelor's degree in Computer Science or equivalent
- 3+ years of professional, full-time experience on robot learning
- Experience with physical simulators (Pybullet, IssacSim, Mujoco, etc.) and training RL policies in simulation
- Ability to rapidly prototype ideas in code in an independent manner
- Published research in top ML conferences (NeurIPS, CoRL, RSS, ICML, etc.)
Nice-to-Haves
- Experience with GPU simulation
- Have built large programming projects on your own for fun (e.g. open source projects)
- Training large-scale ML models such as visual foundation models, large language models, pixel-level generative models
- Have implemented highly performant software
Compensation
We offer a total compensation package including base salary from US$105,000 to US$250,000 annually, with generous stock options and other benefits.
We seek the world's most talented individuals with a passion for inventing and building a more prosperous future. At 1X you'll get to own real projects and be rewarded for your achievements and output. We hire, recognize and reward based on merit. We believe the best work is done when collaborating and therefore require in-person presence.
Interview process
Introduction Stage - we have initial conversations to get to know you better
- [30m] Recruiter Screen with Moe Thitsa
- [45m] Hiring Manager technical interview with an AI team member
Team Interview Stage
- On-site or remote team interview with the AI team
Final Interview Stage - we move you to our final round
- We will conduct reference checks.
- [30m] CEO interview with Bernt, to be scheduled based on need
- [15m] Job Offer Conversation with Eric Jang
You are 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?
Studies have shown that women are less likely to apply to jobs unless they meet all qualifications. 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.
Location
This position is based in Sunnyvale, California, USA, at our newly renovated AI headquarters. We offer visa sponsorship for exceptional candidates. Joining our team means becoming a valued member of one of the biggest brands in humanoid robotics, where you'll play a part in shaping the future of general purpose androids.
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: general-purpose androids helping people around the globe. 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!