Research Engineer, Robotic Learning
Palo Alto, California, United States
Full Time Senior-level / Expert USD 179K - 250K
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. 1X's mission is to create an abundant supply of labor via safe,...Target start date: immediately. 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.
Responsibilities
Train machine learning models for robotic navigation, manipulation, and locomotion.
Implement infrastructure to scale up the data engine’s ability to train on more data and more compute.
Develop algorithmic advances to improve our models' sample efficiency and generalization capability.
Work with the data collection team to improve their efficiency and evaluation processes.
Interview hiring candidates for the AI team.
Working with the software team to improve calibration and timing correctness of the robotics stack.
Speeding up the data loader to increase training speeds.
Implement data inspection tools to interpret AI models better.
Requirements
Requirements:
Master’s degree or foreign degree equivalent in Computer Science or equivalent or related field
(3) years of experience in the job offered or related role.
Experience and/or education must include:
Writing software to control robots for inverse kinematics, control regimes, camera calibration and linear algebra;
Machine Learning, training neural networks to automate various tasks using humanoid robots;
Coding and Software Engineering, training neural networks;
Writing Python programming; GPU programming, Computer Vision, and Deep Learning;
Open-ended research, Natural Language Processing, and Linear Algebra.
Location Policy
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.
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.
Salary: $179,858 - $250,000/yr; 40 hours/week
We are 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.
We are an inclusive environment and value diversity of background, experiences and thought, and welcome applicants from diverse backgrounds to contribute to our mission.
We're excited to get to know you and the prospects of having you on board!
Tags: Computer Science Computer Vision Deep Learning Engineering GPU Linear algebra Machine Learning ML models NLP Python Research Robotics
Perks/benefits: Startup environment
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