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Senior Machine Learning Scientist Jobs in California

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

At Freenome, we are seeking a Senior Machine Learning Research Engineer to join the Machine Learning Science (MLS) team, within the Computational Science department. The ideal candidate has a strong ...

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Senior Machine Learning Scientist information

See California salary details

$65.6K

$109.1K

$162.3K

How much do senior machine learning scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior machine learning scientist in California is $109,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $123,400.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

What are the key skills and qualifications needed to thrive as a senior machine learning scientist?

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.
What are the most commonly searched types of Machine Learning Scientist jobs in California? The most popular types of Machine Learning Scientist jobs in California are:
What are popular job titles related to Senior Machine Learning Scientist jobs in California? For Senior Machine Learning Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Scientist jobs in California look for? The top searched job categories for Senior Machine Learning Scientist jobs in California are:
What cities in California are hiring for Senior Machine Learning Scientist jobs? Cities in California with the most Senior Machine Learning Scientist job openings:
Senior Machine Learning Scientist jobs near you
Infographic showing various Senior Machine Learning Scientist job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,097 per year, or $52.5 per hour.

San Jose, USA Roku Senior Machine Learning Scientist, Conversion Modeling

Experimentation Jobs

San Jose, CA • On-site

$130 - $160/hr

Other

Posted 5 days ago

Job description

Why Here?

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico. The company pioneered streaming to the TV with a mission to connect the entire TV ecosystem for consumers, publishers and advertisers. This role is situated in the Advertising Performance group. The group delivers realtime multi-objective optimization using Machine Learning, Reinforcement Learning, AI and related systems at massive scale.

What Will You Do?

As a Senior Machine Learning Scientist, Conversion Modeling at Roku, you will apply state of the art research and conduct original investigations to create novel methods for conversion modeling and attribution. You will build generative models that produce optimized image and video ads for superior performance. Additionally, you will drive experimentation initiatives including A/B and multivariate testing to validate solutions and optimize outcomes.

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