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Lead Machine Learning Engineer Jobs in California

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... key engineering leadership role -- Minimum Requirements: * Doctorate in a related field * 8+ years of experience (including any applicable work in grad school) developing machine learning ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site

$119K - $156K/yr

... key engineering leadership role -- Minimum Requirements: * Doctorate in a related field * 8+ years of experience (including any applicable work in grad school) developing machine learning ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

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

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 +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 ...

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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 Jul 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.

How much does a lead machine learning engineer make?

A lead machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and industry. Senior roles often include responsibilities such as designing models, leading teams, and working with advanced tools like TensorFlow or PyTorch.

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 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.

Will MLE be replaced by AI?

Lead Machine Learning Engineers (MLEs) design, develop, and oversee AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, tuning, and maintaining complex models. AI tools support MLEs but do not replace the need for human expertise in understanding data, ethical considerations, and system deployment. The role evolves with advancements in AI, emphasizing skills in model development, programming, and problem-solving.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as Lead Machine Learning Engineer or senior AI executive roles that offer compensation in this range, including salary, bonuses, and stock options. These roles usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and often involve leadership responsibilities in developing AI strategies and solutions.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.
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 July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,163 per year, or $58.7 per hour.
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Care.coach

Millbrae, CA • On-site, Remote

$119K - $156K/yr

Full-time

Re-posted 6 days ago

Job description

Company Description
At care.coach, we are pioneering human-in-the-loop digital avatars that support behavioral health among the highest-need, highest-risk patients (typically elderly) both in the hospital and at home. Please check out the following video to understand how we help vulnerable patients living at home:
  • https://care.coach/2-min-demo

Job Description
Qualifications
We're looking for a highly experienced and mission-aligned ML engineer to join our team in a key engineering leadership role --
Minimum Requirements:
  • Doctorate in a related field
  • 8+ years of experience (including any applicable work in grad school) developing machine learning applications for practical use
  • 2+ years in an agile software development environment, preferably with an early-stage startup
  • 2+ years developing web-based applications, including web-based ML/data infrastructure

Additional Desired Experience:
  • Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation
  • Computer vision for human activity and sentiment classification
  • Development of data mining, analytics, dashboards and reporting systems
  • Engineering management (both personnel & projects)
  • LAMP stack w/ PHP, and Django web framework
  • Academic publications, conference speaker roles, or other public recognition as a top technical/domain expert

Location: Anywhere in US
Job Type: Full-time regular W2 employment with benefits. (no C2C; no 1099; no visa sponsorship)
Compensation: Competitive depending on qualifications
Company Headquarter: Located in Millbrae, CA
Job Type: Full-time
Additional Information
All your information will be kept confidential according to EEO guidelines.

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