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Senior Machine Learning Scientist Jobs in California

Veryfi

Sr. Machine Learning Engineer

San Mateo, CA · On-site

$139K - $184K/yr

Veryfi is seeking a Sr. Machine Learning Engineer who will sit at the intersection of software engineering and data science. The role involves leveraging big data tools to redefine raw data into ...

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 ... Data Science & Technical Foundation * MS or Ph.D. in Data Science, Engineering, Applied Science or ...

MyOme

Machine Learning Scientist

San Francisco, CA

Description MyOme is looking for a world-class machine learning scientist to join us on our mission to help people maximize the value of their genomic information. You will report to the head of ...

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 ... Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to ... Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to ... Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with ...

Relace

Machine Learning Scientist

San Francisco, CA · On-site

The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our ...

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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 Sep 2, 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 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 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.

Is a senior machine learning scientist a high paying job?

A senior machine learning scientist typically earns a high salary due to advanced skills in data analysis, programming, and model development, often exceeding average tech industry wages. Compensation varies by industry, location, and experience, but it generally reflects the specialized expertise required for the 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, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $109,097 per year, or $52.5 per hour.

Sr. Machine Learning Engineer

Veryfi

San Mateo, CA • On-site

$139K - $184K/yr

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Veryfi is seeking a Sr. Machine Learning Engineer who will sit at the intersection of software engineering and data science. The role involves leveraging big data tools to redefine raw data into scalable data science models, with a focus on machine vision and machine learning in financial services.
Responsibilities:
• Perform statistical analysis
• Fine tuning test results
• Train and retrain systems
• Work on frameworks
• Undertaking machine learning experiments and test
• Designing machine learning programs
• Developing deep learning systems to various use cases based on the business needs
• Implementing suitable AI/ML algorithms
Qualifications:
Required:
• Prior experience with machine vision and machine learning in financial services is essential.
• Knowledge on basics of math and probability
• Good understanding and strong knowledge in algorithms and statistics
• Appreciation of data modelling, software architecture and data structures
• Past experience of working in frameworks in last job or internship
Preferred:
• Preferred degree in Computer Science, Mathematics or similar courses or fields
• A demonstrated experience of working in Machine Learning Jobs before is an added advantage
Company:
Veryfi provides AI-powered document capture, extraction APIs, and fraud detection to automate workflows across any document type. Founded in 2017, the company is headquartered in San Mateo, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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