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Lead Machine Learning Engineer Jobs in California

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Adobe is at the forefront of driving digital transformation and is seeking a Machine Learning Engineer to develop machine learning models and algorithms. The role involves collaborating with multi ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

Gotion Inc.

Machine Learning Engineer

Fremont, CA · On-site

They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

Advantest

Machine Learning Engineer

San Jose, CA

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...

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Lead Machine Learning Engineer information

See California salary details

$41.9K

$122.2K

$178.1K

How much do lead machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for lead machine learning engineer in California is $122,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $133,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Lead Machine Learning Engineer, you need advanced expertise in machine learning algorithms, data modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is essential, along with relevant certifications. Strong leadership, collaboration, and problem-solving skills help you manage teams and communicate complex technical ideas effectively. These skills and qualities are crucial for driving successful AI initiatives, ensuring project delivery, and fostering innovation within cross-functional teams.

How does a Lead Machine Learning Engineer typically collaborate with cross-functional teams during a project?

As a Lead Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, product managers, and sometimes domain experts to drive projects from conception to deployment. You are often responsible for translating business requirements into scalable machine learning solutions, coordinating model development, and ensuring integration with existing systems. Clear communication and the ability to explain complex technical concepts to non-technical stakeholders are essential, as you may need to guide team members and align everyone's efforts toward project goals. This collaborative environment fosters both technical and leadership growth.

What does a Lead Machine Learning Engineer do?

A Lead Machine Learning Engineer oversees the design, development, and deployment of machine learning models within an organization. They guide a team of engineers and data scientists, ensuring best practices in model architecture, data management, and production pipelines. Their responsibilities often include collaborating with stakeholders, mentoring junior team members, and staying up-to-date with the latest advancements in machine learning. Lead ML Engineers also play a key role in translating business objectives into technical solutions and ensuring scalability and reliability of AI systems.

What engineer can make $500,000 a year?

A Lead Machine Learning Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and data science, and leadership responsibilities in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.
What are popular job titles related to Lead Machine Learning Engineer jobs in California? For Lead Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Lead Machine Learning Engineer jobs in California look for? The top searched job categories for Lead Machine Learning Engineer jobs in California are:
Lead Machine Learning Engineer jobs near you
Infographic showing various Lead Machine Learning Engineer job openings in California as of May 2026, with employment types broken down into 57% Full Time, 37% Part Time, 2% Temporary, and 4% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $122,163 per year, or $58.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Adobe

San Jose, CA • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Adobe is at the forefront of driving digital transformation and is seeking a Machine Learning Engineer to develop machine learning models and algorithms. The role involves collaborating with multi-functional teams to create scalable solutions that address complex business challenges and optimize strategies for growth.
Responsibilities:
• Develop and implement machine learning models and algorithms to solve complex problems
• Work with multi-functional teams to build and deploy scalable machine learning solutions
• Conduct research and stay updated on the latest trends in machine learning and artificial intelligence
• Optimize machine learning models for performance and accuracy
• Analyze large datasets to extract meaningful insights and drive data-informed decisions
• Engage in code reviews and contribute to maintaining high-quality standards in software development
• Explore and apply emerging AI capabilities, including agentic systems and generative AI, as we extend the reach of our core analytical solutions
Qualifications:
Required:
• Ph.D. degree or equivalent experience in Statistics, Applied Mathematics, Computer Science, or a relevant field, OR Master's degree in these fields with 2+ years of relevant industry experience
• Proficient in programming languages such as Python, R, or similar
• Strong foundation in probability, statistics, and mathematical modeling
• Knowledge of common machine learning algorithms and techniques
• Hands-on experience with machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn
• Strong analytical and problem-solving skills with a focus on data-driven decision-making
• Experience contributing to the development and deployment of machine learning models, including in production environments
• Ability to thrive in collaborative, dynamic, and fast-paced settings
• A passion for knowing the latest advancements in machine learning and continuous self-improvement
• Strong communication skills to effectively convey complex technical concepts to diverse collaborators
• Exposure to or curiosity about generative AI and agentic AI frameworks, and how they complement and extend traditional ML workflows
Company:
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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