1

Contract Machine Learning Engineer Biotech Jobs in Spring Valley, CA

Machine Learning Engineer

San Diego, CA · On-site

$160K - $215K/yr

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 ...

Lead Machine Learning Engineer

San Diego, CA

$108K - $143K/yr

Integrate Machine Learning and AI systems with production applications * Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering ...

Integrate Machine Learning and AI systems with production applications * Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering ...

Machine Learning Engineer- Gen AI Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver ...

next page

Showing results 1-20

Contract Machine Learning Engineer Biotech information

See Spring Valley, CA salary details

$32.2K

$131.8K

$198K

How much do contract machine learning engineer biotech jobs pay per year?

As of Jun 9, 2026, the average yearly pay for contract machine learning engineer biotech in Spring Valley, CA is $131,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $158,600.00 per year, depending on experience, location, and employer.

What is the difference between Contract Machine Learning Engineer Biotech vs Contract Data Scientist Biotech?

AspectContract Machine Learning Engineer BiotechContract Data Scientist Biotech
CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and pipelines for biotech applicationsAnalyzes data, builds statistical models, and interprets biological data
Industry UsageUsed in biotech R&D, drug discovery, and personalized medicineApplied in clinical data analysis, biomarker discovery, and research

Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.

What job categories do people searching Contract Machine Learning Engineer Biotech jobs in Spring Valley, CA look for? The top searched job categories for Contract Machine Learning Engineer Biotech jobs in Spring Valley, CA are:
What cities near Spring Valley, CA are hiring for Contract Machine Learning Engineer Biotech jobs? Cities near Spring Valley, CA with the most Contract Machine Learning Engineer Biotech job openings:
Machine Learning Engineer

Machine Learning Engineer

Cellanome

San Diego, CA • On-site

$160K - $215K/yr

Full-time

Medical, Life, Retirement

Posted 13 days ago


Job 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. Possibility for Remote.
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.