DeepMind-posted 3 months ago
$141,000 - $202,000/Yr
Full-time
Mountain View, CA
Publishing Industries

Google Deepmind Robotics's mission is to solve AGI in the physical world. We are looking for an exceptional software engineer passionate about robotics and data, to tackle one of the major bottlenecks towards this mission - high quality data, lots of them. As a software engineer with a focus on data, you work closely with researchers, engineers, and operation teams, tackling some of the largest scale and most complex data quality and systems problems across the full data lifecycle from data collection to ML training and evaluation. You play a crucial role in advancing our embodied AI technologies, and making a transformative impact in the real-world.

  • Design and implement large scale data acquisition, processing and curation pipelines, assuming end-to-end ownership over the full lifecycle of high quality datasets for training advanced robotics foundation models.
  • Systematically improve data quality by performing sophisticated data analysis, debugging and experiments, developing metrics, tests and monitoring mechanisms, which directly contribute to ML model improvements.
  • Develop, improve large scale data pipeline infrastructure and tooling. Improve system reliability, usability and scalability, data safety and security over the full data lifecycle.
  • Bachelor's degree or equivalent practical experience.
  • 2+ years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • Experience with production data systems and quality projects.
  • C++ and Python programming experience.
  • Experience in data analysis, debugging, experiment design and evaluation.
  • Strong problem-solving skills.
  • Experience with production ML-oriented systems or applications.
  • Rich experience working with very large datasets using Google data infrastructure and tooling ecosystems like Flume and PLX.
  • Industry experiences in robotics or automation.
  • Product mindset, willingness to learn, work with research and product colleagues, focus on delivering value in real-world applications.
  • Base salary range between $141,000 - $202,000 + bonus + equity + benefits.
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