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Machine Learning Engineer Biotech Jobs in Oakville, CA

Infosys Consulting

Insurance AI Architect

Santa Rosa, CA · On-site

$69 - $90.75/hr

Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) * Minimum of 10 years of relevant work experience with 2 years of ...

Infosys Consulting

Insurance AI Architect

Sonoma, CA · On-site

$70.50 - $93/hr

Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer) * Minimum of 10 years of relevant work experience with 2 years of ...

Amat

Software Engineer ||

Fairfield, CA

$124K - $171K/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 ...

Applied Materials

Software Engineer ||

Fairfield, CA

$124K - $171K/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 ...

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 ...

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Showing results 21-40

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 Sep 6, 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, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,317 per year, or $70.8 per hour.

Senior Solution Engineer - AI/ML, Digital Photonics & Aerospace/Defense Technologies

Keysight Technologies, Inc.

Santa Rosa, CA • On-site, Remote

$143K - $238K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Key responsibilities

  • Develop and maintain custom scripts and automation solutions for instrument control and customer testing requirements.

  • Lead data-generation campaigns to produce high-quality datasets for AI model training.

  • Develop, train, and validate ML models for measurement science problems and convert workflows into AI-driven tools.

Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

52nd of 161 rated electronics manufacturers

Job description

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Position Summary: 

Keysight Technologies is seeking an experienced and highly skilled Solution Engineer to join its AI team within Software & AI Labs. This expert-level role combines deep domain knowledge in Digital Photonics (real-time and sampling oscilloscopes, BERTs, arbitrary waveform generators) and Aerospace/Defense (signal sources, radar and EW test) with hands-on AI/ML engineering. The successful candidate will drive data and test-case generation for AI model training on real bench hardware, develop and deploy ML models against that data, and coordinate with internal business units and Machine Learning Engineers (MLEs).


Responsibilities
  • Develop and maintain custom scripts and automation solutions for instrument control and customer testing requirements across scopes, BERTs, AWGs, signal sources, and radar test setups (SCPI, PyVISA, instrument APIs).
  • Lead data-generation campaigns in the Data Generation Lab on our AI Platform — designing measurement plans and producing high-quality datasets for AI model training.
  • Develop, train, and validate ML models for measurement science problems: waveform and eye-diagram analysis, EVM/BER/jitter inference, signal classification, and radar/EW scenario characterization.
  • Convert measurement and optimization workflows into agentic AI skills (LLM-based tooling) so instruments can be operated and results interpreted through AI-driven pipelines.
  • Coordinate with Keysight business units and MLEs to facilitate high-quality data generation for AI model development.
  • Act as a primary customer interface for the AI Development Platform in photonics and A&D engagements, ensuring alignment with user needs and technical requirements.
  • Serve as a technical advisor on high-speed digital, photonics, and radar/EW test technologies across global engagements.
  • Lead technical discussions, demonstrations, and proof-of-concept initiatives with customers and R&D teams; collaborate with account managers to communicate the value of Keysight's AI solutions.
  • Deliver training and ongoing technical support to ensure customer success; build and maintain strategic customer relationships.
  • Represent Keysight at industry events and technical forums.

Qualifications
  • Bachelor's, Master's, or PhD in Electrical Engineering, Physics, Electronics and Communication Engineering, or a related field.
  • 5–10 years of relevant experience, including customer-facing technical roles.
  • Hands-on expertise with T&M equipment — oscilloscopes, BERTs, AWGs, and/or signal generators/analyzers — including remote programming and test automation (Python, SCPI, PyVISA, IVI; C# and OpenTAP a plus).
  • Strong ML engineering skills: Python, PyTorch or TensorFlow, and classical signal processing applied to time-series, RF, or optical waveform data.
  • Solid RF and/or high-speed digital fundamentals: modulation, EVM, BER, jitter etc.
  • Domain depth in at least one of: optical/photonics test (coherent optics, PAM4, TDECQ) or radar/EW (pulse compression, chirps, PRI/PDW analysis, threat simulation).
  • Independent professional who works best under broad and general direction.
  • Due to this role's exposure to export-controlled defense technology, candidates must qualify as U.S. Persons as defined by ITAR (22 CFR § 120.62).
Preferred Qualifications
  • Experience building LLM-based agents, tools, or skills (Claude, MCP, or similar) for engineering automation is a strong plus.

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California pay range: MIN $143,050- MAX $238,420

Colorado pay range: MIN $132,450- MAX $220,750

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

  • 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)

Careers Privacy Statement

Keysight is an Equal Opportunity Employer

Keysight Technologies Inc. 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, disability or any other protected categories under all applicable laws.

Qualifications:
  • Bachelor's, Master's, or PhD in Electrical Engineering, Physics, Electronics and Communication Engineering, or a related field.
  • 5–10 years of relevant experience, including customer-facing technical roles.
  • Hands-on expertise with T&M equipment — oscilloscopes, BERTs, AWGs, and/or signal generators/analyzers — including remote programming and test automation (Python, SCPI, PyVISA, IVI; C# and OpenTAP a plus).
  • Strong ML engineering skills: Python, PyTorch or TensorFlow, and classical signal processing applied to time-series, RF, or optical waveform data.
  • Solid RF and/or high-speed digital fundamentals: modulation, EVM, BER, jitter etc.
  • Domain depth in at least one of: optical/photonics test (coherent optics, PAM4, TDECQ) or radar/EW (pulse compression, chirps, PRI/PDW analysis, threat simulation).
  • Independent professional who works best under broad and general direction.
  • Due to this role's exposure to export-controlled defense technology, candidates must qualify as U.S. Persons as defined by ITAR (22 CFR § 120.62).
Preferred Qualifications
  • Experience building LLM-based agents, tools, or skills (Claude, MCP, or similar) for engineering automation is a strong plus.

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California pay range: MIN $143,050- MAX $238,420

Colorado pay range: MIN $132,450- MAX $220,750

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

  • 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)

Careers Privacy Statement

Keysight is an Equal Opportunity Employer

Keysight Technologies Inc. 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, disability or any other protected categories under all applicable laws.

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