ZipRecruiter

Log In

1

Senior Machine Learning Engineer Biotech Jobs in California

ZEFR

Senior Machine Learning Engineer

Marina Del Rey, CA

$112K - $154K/yr

We are hiring a Senior Machine Learning Engineer focused in ML Operations to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes ...

Autodesk

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Senior Machine Learning Engineer We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This ...

New

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Leidos

Senior Machine Learning Engineer

Vista, CA

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

Senior Machine Learning Engineer Brisbane, California At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

GEICO

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

Senior Machine Learning Engineer, AI Research About the Role GEICO is redefining the insurance landscape throughcutting-edgeArtificial Intelligence, and the AI Research team is driving this ...

Amgen, Inc.

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site

$158K - $200K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Senior Machine Learning Engineer Duties: Lead efforts with Amgen business leaders to identify ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$158K - $200K/yr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Senior Machine Learning Engineer Duties:Lead efforts with Amgen business leaders to identify ...

next page

Showing results 1-20

All JobsSenior Machine Learning Engineer Biotech JobsSenior Machine Learning Engineer Biotech Jobs in California

Senior Machine Learning Engineer Biotech information

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

AspectSenior Machine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and deployment pipelines in biotech R&DAnalyzes data, builds statistical models, and interprets biological data
Employer & Industry UsageTech-driven biotech firms, pharma companies, research labsBiotech companies, healthcare analytics, research institutions

While both roles work with biological data, Senior Machine Learning Engineers focus on developing and deploying ML models for biotech applications, whereas Data Scientists analyze and interpret data to inform research and decision-making. The ML Engineer role emphasizes model deployment and engineering skills, while Data Scientists focus more on statistical analysis and insights.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in California? The most popular types of Machine Learning Engineer Biotech jobs in California are:
What are popular job titles related to Senior Machine Learning Engineer Biotech jobs in California? For Senior Machine Learning Engineer Biotech jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer Biotech jobs in California look for? The top searched job categories for Senior Machine Learning Engineer Biotech jobs in California are:
What cities in California are hiring for Senior Machine Learning Engineer Biotech jobs? Cities in California with the most Senior Machine Learning Engineer Biotech job openings:
Senior Machine Learning Engineer Biotech jobs near you
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 26 days ago

Genentech rating

9.0

Company rating: 9.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

7th of 71 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

Social media

FacebookTwitter

View All Genentech Jobs

Apply