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ML Scientist for Computer Vision
Microscopy, All levels
Confirmed live in the last 24 hours
San Bruno, CA, USA
Experience Level
Desired Skills
Computer Vision
Google Cloud Platform
  • Ph.D. in computer vision, machine learning, computer science or a related discipline, or equivalent practical experience (e.g., a Master's degree plus 2 years of relevant industry experience)
  • Effective in team-based software design and development
  • Demonstrated ability to use and develop cutting edge methods for analyzing imaging data
  • Extensive hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities
  • Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (PyTorch, TensorFlow, Keras, etc)
  • Strong programming skills in Python, including processing TB-scale image datasets
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
  • Passion for making a difference in the world
Desired Qualifications
  • Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects
  • Experience modeling with video or imaging time-series datasets
  • Experience building infrastructure for image preprocessing
  • Experience with microscopy data acquisition
  • Some understanding of image formation models (Fourier optics)
  • Familiarity with cloud computing services (e.g., AWS or GCP)
  • Experience with database languages (e.g., SQL)
  • Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venues
  • Proficiency in C++/OpenCV/CUDA, or other compiled, statically-typed languages and related computer vision/graphics libraries

51-200 employees

Data-driven drug discovery & development
Company Overview
Insitro’s mission is to use machine learning and data at scale to transform the way that drugs are discovered and developed for patients. The company is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy.
  • Excellent medical, dental, and vision coverage
  • Excellent mental health and well-being support
  • Open vacation policy
  • Access to free onsite baristas & cafe with daily lunch and breakfast
  • Access to free onsite fitness center
  • Commuter benefits
  • Paid parental leave
  • Competitive pay and 401(k) matching
  • Flexible work schedule (on site and remote)