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Machine Learning Platform Engineer
Los Angeles, Remote

Pearl is looking for a Machine Learning Platform Engineer with at least 3 years of industry experience. You will be responsible for building and maintaining many of the core applications that power Pearl. You will be working to advance Pearl’s machine learning capabilities in both 2-D and 3-D. You will be working with a team of like minded engineers to improve the performance of our machine learning pipeline 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 machine learning applications
  • Interface with the machine learning and product teams to design and build new applications which 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 the same
  • 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 both technical 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