2022-05-09T19:55:49-04:00 X, The Moonshot Factory
Machine Learning Reliability Engineer - Everyday Robots
Software Engineering
Mountain View, CA

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.

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 a Machine Learning Reliability Engineer. Find out more about us, and meet the people behind the robots on our website.

Role

As a Machine Learning (ML) Reliability Engineer at Everyday Robots (EDR), you will be working alongside other ML software engineers and roboticists who develop and deploy state-of-the-art ML methods to enable robots to learn. Your role will be to enable developers to run ML workflows smoothly and efficiently. You will develop sustainable solutions to ensure the reliability and performance of these ML workflows, improving engineer productivity, and ultimately helping our robots learn faster.

Responsibilities

  • Engage in capacity planning, quota management, and demand forecasting for ML workflows.
  • Collaborate with partner teams to co-develop large-scale Machine Learning infrastructure for robot learning.
  • Streamline/improve the scalability and efficiency of large-scale distributed ML workflows by analyzing, understanding, and fixing bottlenecks.
  • Automate data upload/processing/training pipelines and develop monitoring and notification tools to track various statistics of ML pipelines.
  • Respond to and resolve emergent problems in production and test ML training pipelines; write software and build automation to prevent problem recurrence.
  • Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work.

Preferred Qualifications

  • Experience analyzing and troubleshooting large-scale distributed systems
  • Experience in data structures, algorithms and complexity analysis
  • Fluency in Python, C++, bash
  • Knowledge of IP networking, network analysis, performance and application issues


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.

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