Description

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, or remotely (if candidate not located within commutable distance of either office).

Key Responsibilities:

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.

Role Requirements:

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.

Preferred Qualifications:

Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

What you can expect from us:

You’ll feel the energy when you walk in our door – we work hard, we have fun and we have ambitious plans to grow. Cellanome offers a comprehensive employment package that includes a competitive salary, generous stock options, great individual, and family health plans, a 401(k) and flexibility to balance work and life.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Machine Learning Engineer

Description

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