Engineering | Menlo Park, CA

DigitalFish has an immediate need for a Software Engineer - Machine Learning to help us create the future of social play in mixed reality (AR/VR/MR).

DigitalFish has long been a trusted partner of leading digital media companies, and we are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Facebook, Google, Pixar, DreamWorks, Activision, LEGO, Disney/ESPN, NASA and many others.

At DigitalFish, you'll have a unique opportunity to help lead this invention of the future of design, entertainment and play on multiple fronts.

Candidates for this position should have at least three years of relevant work experience.


  • Implement classifiers for semantic labeling and scene understanding
  • Reconstruct scenes from camera sensor input
  • Generate key-points and bounds from scene data
  • Develop new machine-learning algorithms to achieve optimum results on training data
  • Debug, optimize, and maintain code according to established code quality standards
  • Document best practices and solutions for future efforts

Minimum Requirements

  • BS/BA in Computer Science or related engineering field
  • 3-5 years of experience engineering in Python/C++
  • Work or educational experience in Machine Learning
  • Knowledge of classifiers, regression and data mining
  • Experience with deep-learning frameworks (e.g., TensorFlow, Torch, Caffe)
  • Experience with computer vision using OpenCV
  • Good understanding of 3D fundamentals
  • Strong general programming skills
  • Strong analytical and communication skills
  • Familiarity with Agile/Scrum development process
  • Proof of eligibility to work in the United States

Compensation and Benefits

  • Competitive salary plus equity per qualifications
  • Full benefits with excellent health plan
  • Ability to influence product and features built on cutting-edge technologies
  • Work with a well-respected, creative and talented group of experts in graphics and animation


This is a full-time position on-site in Menlo Park, CA with free transportation available from much of the Bay Area.

We are an equal opportunity employer and are hiring immediately. We look forward to hearing from you via the Apply button below. 

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