1

Machine Learning Manager Jobs in California (NOW HIRING)

As a fintech company where data and machine learning (ML) is integral to both our business strategy ... Collaborate with software engineers, data engineers, product managers, and marketing to coordinate ...

Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain...As a Machine Learning Engineer on our core AI/ML team, you will design and ...

Staff Machine Learning Engineer Overview: As a Staff Machine Learning Engineer, you will be the ... End-to-End Model Lifecycle Management: Own the complete lifecycle of ML models, including ...

New

Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. As a Machine Learning Engineer on our core AI/ML team, you will design and ...

Machine Learning Engineer

San Jose, CA · On-site

$125.60K - $234.15K/yr

The Opportunity Adobe is looking for a Machine Learning Engineer to understand and optimize the ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Machine Learning Engineer 4

San Jose, CA · On-site

$151.80K - $265.35K/yr

Simplify business problems and frame them as machine learning questions. * Own the end-to-end ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

The Opportunity Adobe is looking for a Machine Learning Engineer to understand and optimize the ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Machine Learning Engineer III

Poway, CA · On-site

$116.48K - $208.51K/yr

... data management and accuracy. * In both theoretical development environments and specific product ... Adapts machine learning to areas such as virtual reality, augmented reality, artificial ...

... managing collaborations with vendors to maintain schedule and ramp dates - Occasionally wear ... machine learning and/or computer vision techniques to build models integrated into industrial ...

... management (petabytes) and compute abstractions (Spark, Kubernetes, etc) • Drive the ... machine learning solutions with direct application in the data engineering space • Ability to ...

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134.50K - $158.30K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of machine learning systems powering the Taco Bell Voice AI experience. This role is central to ensuring ...

next page

Showing results 1-20

Machine Learning Manager information

See California salary details

$50.3K

$80.6K

$116.5K

How much do machine learning manager jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning manager in California is $80,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $91,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
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 cities in California are hiring for Machine Learning Manager jobs? Cities in California with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in California as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 51% Physical, 5% Hybrid, and 44% Remote job distribution, with an average salary of $80,639 per year, or $38.8 per hour.
Head of Machine Learning

Head of Machine Learning

EarnIn

Mountain View, CA • Hybrid

$477K - $583K/yr

Other

Posted 7 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