X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.
The Team
Born from X, the moonshot factory, and working alongside teams at Google, we’re building a new type of robot. One that can learn by itself, to help anyone with (almost) anything. With one foot in today, and the other in tomorrow, we seek to turn the helper robots of science fiction novels into reality. Doing this requires taking on the hardest problems in robotics. All so we can work towards a future where helper robots are a part of a better everyday, for everyone.
We know that no company, no moonshot, no wild idea is greater than the efforts of the people behind it. Our team is thoughtful, driven and deliberately diverse, working together in a creative and collaborative environment, where everyone’s perspectives and expertise is valued.
We’re looking for Machine Learning Software Engineers across our Perception and Simulation teams to help enable our robots to do everyday jobs.
Your Impact
You’ll work with a small team to build functional prototypes and scale them into robust deployed robotic applications. Collaborating with researchers on developing innovative techniques and algorithms for Perception, Simulation and Manipulation. You’ll use creative problem solving skills to enable robots to handle tasks for people in their everyday life. You’ll address ambiguous problems, discovering new ways of applying learned systems, integrated with classical robotics, to break through performance ceilings.
Responsibilities
- Design, train and integrate end-to-end machine learning models to deploy in the real world over a large fleet of robots.
- Evaluate and understand the challenges that need to be solved to build useful helper robots.
Qualifications
- Hands on experience developing machine learning models
- Software development experience in Python
Preferred Qualifications
- Background in robotics
- Experience developing computer vision models
- Experience building imitation learning or reinforcement learning models
- Experience in simulation, sim-to-real transfer, domain adaptation, domain randomization, or transfer learning
At Everyday Robots, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you require additional accommodations during the interview process, please let us know.
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at: x-accommodation-request@x.team.