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Senior Machine Learning Jobs in California (NOW HIRING)

Expedia

Senior Machine Learning Scientist

San Jose, CA · Remote

$107K - $146K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

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 · 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 ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

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 ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

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Senior Machine Learning information

See California salary details

$24.7K

$79.2K

$161.4K

How much do senior machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior machine learning in California is $79,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $101,700.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

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

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Senior Machine Learning jobs in California? For Senior Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in California look for? The top searched job categories for Senior Machine Learning jobs in California are:
What cities in California are hiring for Senior Machine Learning jobs? Cities in California with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $79,236 per year, or $38.1 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

This job post has expired today. Applications are no longer accepted.

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

Social media

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