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Machine Learning Engineer Biotech Jobs in Oakville, CA

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA · On-site

... machine learning, and AI to complex datasets originating from Manufacturing, Quality and Supply ... Engineer domain-aware features and reusable data assets that accelerate experimentation for ...

Agile Robots

Robot Service & Support Engineer

Petaluma, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... integrating advanced machine learning and robotic vision to redefine the future of work ... We are actively recruiting engineering professionals with a solid foundational background in ...

Agile Robots

Robot Service & Support Engineer

Petaluma, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... integrating advanced machine learning and robotic vision to redefine the future of work ... We are actively recruiting engineering professionals with a solid foundational background in ...

Agile Robots

Robot Service & Support Engineer

Petaluma, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... integrating advanced machine learning and robotic vision to redefine the future of work ... We are actively recruiting engineering professionals with a solid foundational background in ...

Applied Materials

Software Engineer II

Benicia, CA · On-site

$108K - $148K/yr

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value ...

Amat

Software Engineer II

Benicia, CA

$108K - $148K/yr

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value ...

Lonza

MSAT Scientist - Data Analyst

Vacaville, CA

$95K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering field. * Strongproficiencyin Python, R, SQL, and data visualization tools (Power BI, Tableau) * Expertisein statistical modeling, machine learning, and multivariate analysis * Familiarity ...

Doist

Data Scientist

Fairfield, CA · On-site

$140 - $190/hr

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ... Experience with C#, .NET, or software engineering principles. About SageSure: Named among the Best ...

New

Lonza

MSAT Scientist - Data Analyst

Vacaville, CA · On-site

$95K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering field. * Strong proficiency in Python, R, SQL, and data visualization tools (Power BI, Tableau) * Expertise in statistical modeling, machine learning, and multivariate analysis

QinetiQ

Maritime Engineering SME

Novato, CA

$150K - $200K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Position Overview Qinetiq US is seeking a Maritime Systems Engineering Subject Matter Expert (SME ...

QinetiQ

Associate Manufacturing Engineer

Novato, CA · On-site

$60K - $80K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... The Manufacturing Engineering position will cover a broad range of support activities which include ...

QinetiQ

Associate Quality Engineer

Novato, CA · On-site

$64K - $95K/yr

... machine learning (ML), and augmented reality (AR). QinetiQ US's dedicated experts in defense ... Position Overview QinetiQ Inc. is looking to hire an entry-level Quality Assurance Engineer to work ...

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Showing results 1-20

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

Machine Learning Engineer Biotech information

See Oakville, CA salary details

$36K

$147.3K

$221.4K

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

As of Aug 15, 2026, the average yearly pay for machine learning engineer biotech in Oakville, CA is $147,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $177,300.00 per year, depending on experience, location, and employer.

What does a machine learning engineer do in biotech?

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?

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 cities near Oakville, CA are hiring for Machine Learning Engineer Biotech jobs?

Cities near Oakville, CA with the most Machine Learning Engineer Biotech job openings:

Machine Learning Engineer Biotech jobs near you
Infographic showing various Machine Learning Engineer Biotech job openings in Oakville, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $147,317 per year, or $70.8 per hour.

Semiconductor Data Science and Machine Learning Engineer

Keysight Technologies SAles Spain SL.

Santa Rosa, CA • On-site

$126.93 - $211.55/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

Keysight Technologies is a leader in electronic design, simulation, prototyping, test, manufacturing, and optimization, serving markets such as communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductors.

The Semiconductor Data Analytics and Machine Learning Engineer will work at the High Frequency Technology Center (HFTC) in Santa Rosa, California, contributing to semiconductor innovation through data-driven solutions and machine learning.

Responsibilities

The Semiconductor Data Science and Machine Learning Engineer will develop automated vision systems and big‑data projects to improve yield, process control, and operational efficiency. Key responsibilities include:

  • Lead cross‑functional engagement with semiconductor fab process engineering and integration teams to align data insights, clarify process requirements, and ensure model yield framework outputs effectively support decision-making.
  • Develop, train, and continuously refine machine learning models using optical inspection data for yield determination, defect classification, and timely process feedback.
  • Build scalable data pipelines, tooling, and analytical frameworks capable of supporting complex defect analysis and high‑volume data processing.
  • Apply deep semiconductor process knowledge to validate model assumptions, anticipate edge cases, and ensure meaningful interpretation of data within its physical context.
  • Communicate findings, process implications, and recommended actions clearly to stakeholders ranging from peers to leadership.
Qualifications
  • Bachelor’s, Master’s, or Ph.D. in Data Science, Electrical Engineering, Computer Science, Materials Science, Applied Physics, or related fields.
  • 5+ years of experience developing and deploying machine learning models using ONNX for classification, pattern recognition, anomaly detection, or related tasks (MS with 2‑3+ years/PhD with 1+ year of applicable experience).
  • At least 3 years of experience in semiconductor manufacturing, processes, or integration engineering.
  • Ability to work with cross‑functional technical teams while interfacing with process and integration groups.
  • Strong communication and collaboration skills are required.

Location: This role requires an in‑person, hands‑on engineer who can physically work with the test systems in Santa Rosa, CA.

This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Candidates must be a U.S. citizen, lawful permanent resident, or protected individual authorized under 8 U.S.C. 1324b(a)(3).

Keysight is an Equal‑Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability, and in all other applicable ways.

Benefits

US Employees May Eligible For:

  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)
Salary

Santa Rosa, CA – Minimum $126,930, Midpoint $169,240, Maximum $211,550.

Note: For other locations, pay ranges will vary by region. This role is eligible for Keysight Results Bonus Program.

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