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Lead Machine Learning Engineer Jobs in California

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$125 - $150/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

General Atomics

Machine Learning Engineer

Poway, CA · On-site

Lead technical teams and scope challenging projects into executable sprints. * Drive code reviews ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic ...

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

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Showing results 41-60

All JobsLead Machine Learning Engineer JobsLead Machine Learning Engineer Jobs in California

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 Sep 9, 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 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 are the key skills and qualifications needed to thrive as a lead machine learning engineer?

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 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 August 2026, with employment types broken down into 2% Internship, 85% Full Time, 11% Contract, and 2% Nights. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $122,163 per year, or $58.7 per hour.

Senior/Principal Machine Learning Engineer, Performance DSP

Redwood City, CA • Hybrid

PubMatic
Internet and IT • 501 - 1,000 employees
Learn more about PubMaticexternal

$150K - $170K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 14 days ago

Job description

Sr. Machine Learning Engineer/ Principal Machine Learning Engineer, Performance DSP 

Location: Redwood City, California, United States  (Hybrid)

At PubMatic, we're transforming the mobile advertising landscape with cutting-edge solutions that help buyers and developers succeed. Our team is passionate about building high-performance, innovative products that make a real impact. If you're excited about solving complex challenges, shaping the future of ad tech, and working with brilliant minds, we'd love to have you on board! 

Job Description:

We are looking for a Lead Machine Learning Engineer with deep expertise in Performance advertising and a proven track record of architecting high-performance solutions that drive campaign success. Leveraging your strategic understanding of Performance DSP workflows, you will design cutting-edge algorithms and systems to optimize real-time bidding strategies, exceed advertiser KPIs, and maximize ROI ultimately increasing performance-driven spend on the PubMatic platform. 

 

 

Responsibilities: 

  • Architect and develop advanced features to shape Performance DSPs, optimizing ad formats such as interstitial video, rewarded video, and display ads. 

  • Design PubMatic's product offering to boost auction efficiency and align with Performance DSP workflows and expectations ensuring seamless integration, higher ROI for advertisers, and increase the DSP spend on the platform. 

  • Leverage machine learning and data-driven insights to enhance bid efficiency, campaign performance, and ad delivery strategies. 

  • Collaborate with cross-functional teams including Product, Engineering, and the CTO team to align technical solutions with Performance DSP goals. 

  • Optimize attribution tracking, user value modelling, and ML-driven performance enhancements to maximize campaign impact. 

 

 

Qualifications: 

  • 5+ years of engineering experience at a Performance DSP, coupled with a deep understanding of programmatic advertising workflows, RTB, audience targeting, and bid strategies. 

  • Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies. 

  • Strong expertise in Machine Learning, Ad-Server/Bidder architecture and Gen-AI. 

  • BS or MS degree in Computer Science or Mathematics

Compensation and Benefits:

Base Salary Range: $150,000 - $170,000

In accordance with applicable law, the above salary range provided is PubMatic's reasonable estimate of the base salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units and a competitive benefits package.

Additional Information

Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile, and fully stocked pantries plus in-office catered lunches 5 days per week.

Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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