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Machine Learning Engineer Biotech Jobs in Berkeley, CA

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Machine Learning Engineer

San Francisco, CA · On-site +1

$196K/yr

Machine Learning Engineer (Full time) JOB DUTIES: The Machine Learning Engineer will design, develop, deploy, and maintain advanced machine learning models and data analysis systems to support ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

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 ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

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 ...

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 ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

Docusign

Machine Learning Engineer

San Francisco, CA · On-site

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

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

Machine Learning Engineer Biotech information

See Berkeley, CA salary details

$38.6K

$157.7K

$236.9K

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

As of Jul 5, 2026, the average yearly pay for machine learning engineer biotech in Berkeley, CA is $157,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $189,800.00 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 Berkeley, CA? For Machine Learning Engineer Biotech jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Berkeley, CA look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Machine Learning Engineer Biotech jobs? Cities near Berkeley, 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 Berkeley, CA as of June 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 100% In-person job distribution, with an average salary of $157,670 per year, or $75.8 per hour.
Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery

Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery

Genentech

South San Francisco, CA • On-site

$125K - $172K/yr

Full-time

Posted 21 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 73 rated pharmaceutical

Job description

Job Summary:
Genentech is a leader in healthcare innovation, focusing on advancing science and ensuring healthcare access for all. They are seeking a Machine Learning Engineer to enhance ML infrastructure and collaborate with data scientists, while a Senior Machine Learning Engineer will lead technical solutions and mentor junior engineers.
Responsibilities:
• Design, implement, and maintain scalable and reliable ML infrastructure
• Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs.
• Document infrastructure designs, processes, and operational procedures.
• Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions.
• Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain.
• Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs.
• Document infrastructure designs, processes, and operational procedures.
• Mentor junior engineers and drive technical alignment and influence across teams.
Qualifications:
Required:
• BS/MS with 2-3 years of industry experience required for Machine Learning Engineer - Infra
• Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.) for Machine Learning Engineer - Infra
• Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust) for Machine Learning Engineer - Infra
• Strong experience with Git and repository management for Machine Learning Engineer - Infra
• Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion for Machine Learning Engineer - Infra
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions for Machine Learning Engineer - Infra
• Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines for Machine Learning Engineer - Infra
• BS/MS with 3-5 years of industry experience required for Senior Machine Learning Engineer - Infra
• Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.) for Senior Machine Learning Engineer - Infra
• Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust) for Senior Machine Learning Engineer - Infra
• Strong experience with Git and repository management for Senior Machine Learning Engineer - Infra
• Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software for Senior Machine Learning Engineer - Infra
• Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion for Senior Machine Learning Engineer - Infra
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions for Senior Machine Learning Engineer - Infra
• Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines for Senior Machine Learning Engineer - Infra
Preferred:
• Extensive experience with large-scale ML model platforms and tools
• Deep understanding and experience with PyTorch implementation, especially regarding scaling inference performance
• A history of significant contributions to open-source projects or industry standards
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Genentech logo

About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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