# Machine Learning Engineer at Cellanome

- Company: Cellanome
- What the company does: 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.
- Company website: https://cellanome.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Diego or Foster City
- Work setup: On-site
- Pay: $160K to $215K base salary per year (USD)
- Posted: 2026-05-26
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/cellanome/jobs/4683977006
- Page: https://www.1752.vc/careers/jobs/cellanome-machine-learning-engineer/

## 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

Tags: R&D