Machine Learning Engineer at Cellanome

Department: R&DEducation: education_optional

Compensation · Listed in posting

$160,000 – $215,000/yr

Setup: Remote
Location: San Diego, California
Type: Full-time
Level: senior
Posted: May 26, 2026

Description

The Machine Learning Engineer will collaborate with instrument, assay, and software teams to develop and optimize algorithms for data analysis, workflow automation, computer vision, signal processing, and image analysis. The role includes system-level validation, integration into software ecosystems, deployment optimization for edge devices, GPUs, and high-performance computing, and creation of technical documentation. It is based in San Diego or Foster City, California, with a possibility of remote work, and offers a base salary of $160,000 to $215,000 per year in California.

Required Skills

Python
Computer vision
Signal processing
Image analysis
Neural networks
Workflow automation
PyTorch
C++

Additional Information

Minimum Education: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field
Required Previous Experiences: 5+ years of relevant experience for a Bachelor’s degree holder
3+ years of relevant experience for a Master’s degree holder
Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications
Experience developing production-quality, maintainable, and well-documented Python code
Experience with AI/ML workflows, including data preprocessing, model training, evaluation, and deployment
Experience with image analysis, computer vision, signal processing, or data-driven algorithm development
Experience applying optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems
Experience with workflow automation, process optimization, or efficient data-processing pipelines
Preferred Qualifications: Proficiency in C++, C#, or other high-performance programming languages
Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems
Advanced familiarity with computer vision and deep learning architectures
Experience with PyTorch, TensorFlow, or similar machine learning frameworks
Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution
Familiarity with convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods
Translation Company Name: Cellanome

About Cellanome

Cellanome

single-cell and multiomic discovery

Cellanome is a life science tools company that has commercialized an integrated platform comprising an instrument, consumables, reagents, and software. Researchers use it to analyze the states, behaviors, and interactions of living cells over time and link those behaviors to gene expression. The platform combines fluorescent, live-cell imaging and single-cell transcriptomics with proprietary CellCage technology, helping researchers observe individual cells or functional ensembles as they shift, interact, and respond over time. Cellanome says the resulting data can enable discovery, accelerate therapeutic development, and support computable models of biology.

Open roles: 13
New in 30 days: 7

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