Machine Learning Engineer

Cellanome

Machine Learning Engineer at Cellanome developing algorithms for data analysis and workflow automation. Collaborating with cross-functional teams to optimize algorithms for real-world applications.

Posted 5/27/2026full-timeSan Diego • California • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 methods as well as modern AI/ML approaches, including neural networks.
Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Requirements

What you’ll need

Typically requires a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master’s degree with 3+ years of relevant experience.
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.
Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Benefits

Comp & perks

competitive salary
generous stock options
great individual and family health plans
401(k)
flexibility to balance work and life

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

algorithm developmentworkflow automationcomputer visioncomputational geometrysignal processingimage analysisPythonAI/MLdata analysisoptimization methods

Soft Skills

communication skillscollaborationproblem analysisindependent workteamworktradeoff evaluationscalable solutions

Certifications

Bachelor’s degreeMaster’s degree