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Machine Learning Engineer Biotech Jobs in Fairfield, CA

Krea

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer At Krea, we are building next-generation AI creative tools. We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

Strava

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

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All JobsMachine Learning Engineer Biotech JobsMachine Learning Engineer Biotech Jobs in Fairfield, CA

Machine Learning Engineer Biotech information

See Fairfield, CA salary details

$32.1K

$131K

$196.9K

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

As of Jun 12, 2026, the average yearly pay for machine learning engineer biotech in Fairfield, CA is $131,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $157,700.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

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

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Fairfield, CA? For Machine Learning Engineer Biotech jobs in Fairfield, CA, the most frequently searched job titles are:
What cities near Fairfield, CA are hiring for Machine Learning Engineer Biotech jobs? Cities near Fairfield, CA with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you

Machine Learning Engineer

She Recruits LLC

San Francisco, CA • On-site

$130K - $200K/yr

Other

Medical, Dental, Vision, Life

Posted 5 days ago

Job description

Machine Learning Engineer
Location: San Francisco, CA
Salary Range: $130,000 - $200,000
About Us:
Join our innovative AI company in San Francisco, where we're redefining how knowledge is accessed and understood. We're looking for a passionate Machine Learning Engineer with a deep understanding of machine learning, an experimental mindset, and the drive to thrive in a fast-paced startup environment.
Key Responsibilities:
  • Develop and train state-of-the-art machine learning models, optimizing them to tackle complex real-world problems.
  • Design and implement an RLAIF (Reinforcement Learning from AI Feedback) pipeline to enhance our search functionalities.
  • Dive into new model architectures-have a novel idea? Prototype it, test it, and see how it stacks up against existing solutions!
  • Work with extensive datasets, crafting large-scale, high-quality data solutions to power our models.
Requirements:
  • Experience: 2-15 years in a commercial ML role; startup orientation and enthusiasm for AI innovation are highly valued over years alone.
  • Technical Proficiency: Advanced skills in Python and frameworks such as TensorFlow, PyTorch, Keras, and/or scikit-learn.
  • Specialized Skill: Ability to code a transformer from scratch in PyTorch.
  • Education: Graduate-level machine learning experience from a top-tier university (proof of grades required).
  • Mindset: A strong commitment to improving knowledge accessibility, with a keen understanding of its global impact.
What We Offer:
  • Compensation: Competitive salary up to $200k, with equity options.
  • Benefits: Comprehensive medical, dental, vision, and life insurance.
  • Wellness: Gym reimbursement and nutritious office lunches and dinners.

Come contribute to an AI future that brings knowledge closer to everyone-apply today to be a part of our journey!

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