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Machine Learning Platform Engineer
Los Angeles, Remote

Pearl is looking for a Computer Vision Scientist with at least 3 years of industry experience. Youwill be responsible for building and maintaining many of the core applications that power Pearl. Youwill be working to advance Pearl’s machine learning capabilities in both 2-D and 3-D. You will beworking with a team of like minded engineers to improve the performance of our machine learningpipeline and to prototype CV-driven solutions to new problems. This role requires familiarity withAWS and Python. The ideal candidate is rigorously scientific and a savvy engineer.


  • Design, develop, and maintain new features and improvements for Pearl’s existing machinelearning applications
  • Interface with the machine learning and product teams to design and build new applicationswhich serve Pearl’s core product set○ API development (Node/Express/Serverless)○ Web-based applications (React/Vue)
  • Work with big data for these machine learning applications and write optimized queries for thesame
  • Work with the machine learning team to define and enforce data collection standards
  • Work with engineering to improve and maintain a rapidly growing datastore
  • Perpetually work to identify and improve usability in all of Pearl’s applications

Minimum Qualifications:

  • B.S., M.S. or Ph.D. degree in computer science or a related field or equivalent work experience
  • 3+ years experience in building automation tools, preferably for ML applications
  • Fluency in JavaScript or Python and proficiency with Linux
  • Proven proficiency with Docker
  • Knowledge of SQL and the ability to write efficient, performant queries
  • 3+ years of experience with AWS
  • Experience with open source frameworks like Tensorflow, TFX, PyTorch, Caffe
  • Strong communication skills to effectively collaborate with cross-functional teams including bothtechnical and non-technical team members

Preferred Qualifications :

  • Experience working in medical imaging
  • Experience with CPU/GPU optimization
  • Experience with Kubernetes


  • Talented, energetic teammates
  • Fun and fast-paced work environment
  • Ongoing learning and development
  • Stock options, 401k, medical/dental/vision benefits
  • Unlimited vacation policy