ZipRecruiter

Log In

1

Director Machine Learning Jobs in California (NOW HIRING)

PayJoy

Machine Learning Director

San Francisco, CA

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

StartX

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

PayJoy, Inc

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

PayJoy

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

This role As PayJoy's ML Platform Director, you will lead a team of very talented Machine Learning Engineers and Software Engineers that are responsible for the end-to-end ML ecosystem at PayJoy.

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

... our users with the utmost optimal direct, secure, and privacy-preserving experiences ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... NR Consulting is an information technology consulting firm that offers contingent hiring, direct ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... The work you do here will have a noticeable and direct impact on the development of the company.

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... The work you do here will have a noticeable and direct impact on the development of the company.

previous pagenext page

Showing results 21-40

All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in California

Director Machine Learning information

See California salary details

$35.5K

$90.7K

$139.2K

How much do director machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for director machine learning in California is $90,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $104,600.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 are popular job titles related to Director Machine Learning jobs in California?

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

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

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

What cities in California are hiring for Director Machine Learning jobs?

Cities in California with the most Director Machine Learning job openings:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $90,729 per year, or $43.6 per hour.

Engineering Director- Machine Learning, Core AI

Mountain View, CA • On-site

Polluxa, Inc.
See more jobs at Polluxa, Inc.external

$250/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About the Company

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that is built on trust, care, inclusion, and fun - where everyone can succeed.

Join us to transform the way the world works.

About the Role

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

We are seeking a Director of Engineering, Machine Learning to lead a high-visibility, moonshot initiative focused on enabling the next generation of agentic AI products that will shape the future of work. In this role, you will work closely with C-suite stakeholders to shape and deliver cutting-edge AI systems with real enterprise impact. This is a rare opportunity to define and lead a transformational AI platform at the intersection of engineering excellence and executive vision.

What You’ll Do
  • Lead the architecture, development, and scaling of advanced ML and Generative AI systems.
  • Drive the design and deployment of agentic systems and robust evaluation frameworks.
  • Partner with senior leadership to translate bold ideas into production-ready platforms.
  • Guide teams through the full AI product lifecycle, from conception to scale.
QualificationsBasic Qualifications
  • Proven expertise in ML modeling and Generative AI systems, including agentic architectures and evaluation methodologies.
  • Demonstrated experience building and scaling large-scale AI systems in production environments.
  • Hands-on leadership through at least one end-to-end AI product lifecycle.
  • Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields.
Preferred Qualifications
  • Startup experience, including building products from 0→1 and scaling them successfully.
  • Track record of operating in fast-moving, ambiguous environments with high ownership.
#J-18808-Ljbffr

Apply