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Systems Engineer


Help us solve automated intelligence. Led by professors from Stanford, Berkeley, and MIT, we are focused on moving mature machine learning research into the hands of industry. Located in historic Palo Alto, right next to Stanford campus. Some benefits:

  • Tackle intellectually challenging problems
  • Free lunch, snacks, drinks, and caffeine every day
  • Gym membership with yoga and pilates classes next door
  • Health insurance, including medical and dental
  • Free onsite parking for easy commute, also close to Caltrain
  • Budget for whatever hardware you want
  • Flexible hours
  • Competitive Salary and Equity


  • Manage fleet of TensorFlow workers via Kubernetes.
  • Establish and expand the systems and infrastructure supporting the Matroid platform. 
  • Develop prototypes and execute experiments to help guide engineering efforts.
  • Explore new open-source systems for data management and search indexing.

Minimum Requirements

  • Bachelors in Computer Science (Systems specialization)
  • Strong foundations in data management, distributed computing

Preferred Qualifications

  • Experience with large-scale deployments of Kubernetes and TensorFlow
  • Experience with statistical modeling across a diverse range of data sets and domains.
  • Masters in Computer Science (Systems specialization) or equivalent


To apply, please send your resume and introduction to careers@matroid.com