Startups · AI

Machine Learning Engineer

Cellanome · San Diego or Foster City · On-site

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About Cellanome

Advanced single cell analysis platform uniting live-cell imaging with transcriptomics to capture cellular behavior. Track cellular dynamics over time with CellCage technology for breakthrough biological insights. Backed by General Catalyst.

About the role

We’re a well-funded start-up . You’ll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth. The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

What they're looking for

  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory
More about this role

We’re a well-funded start-up . You’ll get a chance to wear many hats, be a part of a growing team, and have the potential for exciting financial and career growth.

Here’s what sets us apart. We’ve set our sights on some of the biggest challenges facing biology today. We’re amassing a world class team of engineers, scientists, team builders and problem solvers to tackle these challenges heads-on. We’re passionate about developing the next generation technologies that will unravel the complexities of biology.

This is a unique opportunity to build, be part of an exciting start-up and be surrounded by good humans who are super capable, humble and down-to- earth.

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical...

Read the full posting on Cellanome's site ↗

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