Research Engineer, Infrastructure
Sunnyvale, California, United States
1X
1X is a ai robotics company producing humanoids capable of human-like movements and behaviors. Founded in 2014, the company is headquartered in San Francisco Bay and Norway, with over 120 employees globally. 1X's mission is to create an...Target 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, Infrastructure.
Research Engineers in infrastructure are generalists who build and maintain infrastructure and platforms for robot learning. A typical day involves scaling up data and compute engines, or improving the reliability and uptime of model training and inference. You will be responsible for scaling model training and deployment, data engines and databases, and frontends and backends. You will work closely with other AI team members and also develop independently. Success in this role means unblocking data pipelines and compute scaling for an exponentially growing fleet of robots.
Why this job is exciting
Your role on the team will be to scale up the learning stack on state-of-the-art hardware and drive success of robot operations
You will build upon one of the largest android datasets, which is continuing to grow exponentially
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: ship AI platform for non-technical robot operators, scale up AI model training workloads, and own model inference reliability
Build the data engine (frontend UI and backend) to log, clean, and label data for foundation model training
Work with our robot operations team to scale up our datasets and model capabilities
Requirements
Must-Haves
Bachelor’s degree in Computer Science or equivalent
5+ years of professional, full-time experience building ML infrastructure
Proficiency working with and testing large codebases in Python, and C++ or Rust
Experience with databases (Postgres, NoSQL)
Ability to rapidly prototype ideas in code in an independent manner
Experience with Deep Learning Frameworks (Pytorch, TF, JAX, etc.)
Ability to build scrappy, cost-effective solutions to prove out ideas quickly and then harden them for production use cases
Nice-to-haves
Experience managing ML compute clusters, cloud infrastructure, and workload management, and setting up hybrid cloud infra
Have implemented highly performant software
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
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.
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?
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
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.
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data pipelines Deep Learning Generative modeling JAX LLMs Machine Learning ML infrastructure ML models Model inference Model training NoSQL Open Source Pipelines PostgreSQL Python PyTorch R R&D Research Rust Testing
Perks/benefits: Career development Equity / stock options Relocation support Startup environment Team events
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