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Head Of Machine Learning Jobs in California (NOW HIRING)

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

POSITION SUMMARY We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where data and machine ...

Mach9 Robotics Inc

Head of ML

San Francisco, CA · On-site

$250K - $450K/yr

We're looking for a Head of Machine Learning to build and grow the organization that turns our data into the automated products of the future in surveying and design. This is a hands-on leadership ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ...

David AI

Head of Engineering

San Francisco, CA · On-site

As the Head of Engineering, you will lead the engineering team in designing and developing core ... machine learning infrastructure. • A high degree of comfort digging into systems with deep ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. * Proficiency across topics in machine learning and statistics.

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist. * Proficiency across topics in machine learning and statistics.

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Head Of Machine Learning information

See California salary details

$24.2K

$63K

$107.6K

How much do head of machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of machine learning in California is $63,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $74,000.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

What are the key skills and qualifications needed to thrive as a head of machine learning?

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.

What are popular job titles related to Head Of Machine Learning jobs in California?

For Head Of Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Head Of Machine Learning jobs in California look for?

The top searched job categories for Head Of Machine Learning jobs in California are:

What cities in California are hiring for Head Of Machine Learning jobs?

Cities in California with the most Head Of Machine Learning job openings:

Head Of Machine Learning jobs near you
Infographic showing various Head Of Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $63,025 per year, or $30.3 per hour.

Head of Machine Learning

Mountain View, CA • Hybrid

EarnIn
Finance and Insurance • 201 - 500 employees
Learn more about EarnInexternal

$477K - $583K/yr

Full-time

Re-posted 20 days ago

Job description

POSITION SUMMARY 

We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver exceptional customer value. Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact.

The Head of ML will drive operational excellence across our machine learning systems by defining and executing a vision that moves models from research to production with strong performance, reliability, and maintainability. The ideal candidate will bring a proven track record of deploying ML models at scale, particularly in fast-paced startup environments. This leader should have a strong coding foundation, deep familiarity with production-grade ML engineering practices, and the ability to bridge theoretical concepts with practical implementation. While the role is primarily strategic and operational, it also requires a willingness to be hands-on and contribute code when needed to support the team and accelerate key initiatives.

The Mountain View base salary range for this full-time position is $477,000 to $583,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

WHAT YOU'LL DO 

  • Define and own the machine learning roadmap in alignment with business goals.
  • Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems.
  • Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics.
  • Collaborate with software engineers, data engineers, product managers, and marketing to coordinate timely deployments from conception to release

WHAT WE'RE LOOKING FOR 

  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience
  • 12+ years of experience in Engineering or Scientific domains,
  • 7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Extensive breadth and depth of knowledge of machine learning algorithms
  • Industry experience building and productionizing machine learning systems
  • Advanced knowledge of Python, SQL
  • Strong oral and written communication skills

#LI-Hybrid

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