Engineering | San Mateo, CA

DigitalFish has an immediate need for a Software Engineer who is familiar with and has experience in machine learning.

You will start out working on projects at Facebook's Oculus Research involving semantic labeling/scene understanding. Some of our other partners include Google ATAP, LEGO, NASA, Pixar and DreamWorks, and you can expect to intersect with other projects over time.

Ideal candidates have 3-5 years relevant work experience, but if you think you're right for this position, contact us; we'll listen.


  • Implement classifiers for semantic labeling and scene understanding
  • Reconstruct scenes from sensor input
  • Survey and investigate machine-learning algorithms to achieve optimum results on training data
  • Build tools for training and reviewing ML models
  • 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 in a cutting edge technology
  • Work with a well-respected, creative and talented group of experts in graphics and animation


Initially you will be located at Facebook in Menlo Park, CA, with your permanent DigitalFish office located in San Mateo.

Additional Info

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

Apply for this Job  or return to Current Openings

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