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Senior Machine Learning Jobs in California (NOW HIRING)

BILL

Senior Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experience. Responsibilities : • Design ...

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 ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/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 ...

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 ...

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 join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$110K - $152K/yr

Yum! Brands is seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms for media measurement and customer analytics. This role involves collaborating ...

True Anomaly

Senior Machine Learning Engineer

Long Beach, CA · On-site

$114K - $156K/yr

The Senior Machine Learning Engineer will design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in artificial intelligence ...

PayPal, Inc.

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Conduct cutting-edge research in machine learning to develop solutions that address complex business challenges, focusing ...

Hum AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Senior Machine Learning Engineer Location: San Francisco About Hum.ai Hum.ai is building planetary superintelligence. Backed by top funds, we've raised $10M+ and are now heads down building. Join us ...

Apple

Senior Machine Learning Engineer

Cupertino, CA · On-site

$151K - $199K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...

PayPal

Sr Machine Learning Engineer

San Jose, CA

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Conduct cutting-edge research in machine learning to develop solutions that address complex business challenges, focusing ...

PayPal

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

PayPal, Inc. seeks Sr Machine Learning Engineer in San Jose, CA Job Duties: Conduct cutting-edge research in machine learning to develop solutions that address complex business challenges, focusing ...

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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 Jun 19, 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:
Senior Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

BILL

San Jose, CA • On-site

$143K - $189K/yr

Full-time

Posted 6 days ago

Job description

Job Summary:
BILL is a rapidly growing Fintech company focused on empowering businesses through innovative financial automation tools. As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning solutions that enhance BILL's products and directly impact user experience.
Responsibilities:
• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities
Qualifications:
Required:
• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation
Company:
BILL is a developer of financial automation software for small and midsize businesses (SMBs). Founded in 2006, the company is headquartered in San Jose, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About BILL

Sourced by ZipRecruiter

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

San Jose, CA, US

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