ZipRecruiter

Log In

1

Learning Director Jobs in California (NOW HIRING)

PayJoy

Machine Learning Director

San Francisco, CA

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.

StartX

Machine Learning Director

San Francisco, CA · On-site

$300 - $321/hr

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.

New

PayJoy, Inc

Machine Learning Director

San Francisco, CA · On-site

$300 - $321/hr

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.

Ross Stores

Director, Learning & Development

Dublin, CA · On-site

$119K - $225K/yr

The Director of Learning will lead multi-year efforts to shape and evolve programmatic learning and development frameworks through a highly pragmatic, relationship-driven approach. This role is ...

Cohesity

Learning & Talent Director

Santa Clara, CA · On-site

Direct the strategy and orchestration of the learning stack Docebo, Udemy, Franklin Covey, MS365, and enterprise AI tools to deliver scalable, modern learning experiences for a distributed global ...

Ross

Director, Learning & Development

Dublin, CA · On-site

$119K - $225K/yr

The Director of Learning will lead multi-year efforts to shape and evolve programmatic learning and development frameworks through a highly pragmatic, relationship-driven approach. This role is ...

Ross Stores

Director, Learning & Development

Dublin, CA

$119K - $225K/yr

The Director of Learning will lead multi-year efforts to shape and evolve programmatic learning and development frameworks through a highly pragmatic, relationship-driven approach. This role is ...

Ross Stores

Director, Learning & Development

Dublin, CA · On-site

$119K - $225K/yr

The Director of Learning will lead multi-year efforts to shape and evolve programmatic learning and development frameworks through a highly pragmatic, relationship-driven approach. This role is ...

next page

Showing results 1-20

All JobsLearning JobsLearning Director JobsLearning Director Jobs in California

Learning Director information

See California salary details

$35.5K

$90.7K

$139.2K

How much do learning director jobs pay per year?

As of Aug 27, 2026, the average yearly pay for learning director 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 learning director?

Learning Directors are professionals responsible for designing, implementing, and overseeing educational programs within organizations or institutions. They collaborate with stakeholders to identify learning needs, develop curriculum, and ensure instructional effectiveness. Learning Directors also assess program outcomes, manage budgets, and often supervise teams of educators or trainers. Their goal is to enhance employee skills, promote professional development, and align learning initiatives with organizational objectives.

What skills and qualifications are needed to thrive as a learning director?

To thrive as a Learning Director, you need expertise in instructional design, curriculum development, and adult learning principles, typically supported by an advanced degree in education or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and relevant certifications like CPLP or ATD are commonly required. Strong leadership, strategic thinking, and excellent communication skills help drive organizational learning initiatives and foster team collaboration. These competencies ensure effective development and delivery of learning programs that align with organizational goals and promote employee growth.

How does a learning director collaborate with other departments to align training initiatives with organizational goals?

A Learning Director often works closely with department heads, HR, and executive leadership to assess skill gaps and ensure training programs support broader business objectives. This collaboration involves regular meetings, needs assessments, and integrating feedback from various teams to tailor learning solutions. By fostering cross-departmental communication, the Learning Director helps ensure that educational initiatives are relevant, impactful, and drive measurable results for the organization.

What is the difference between Learning Director vs Learning Manager?

AspectLearning DirectorLearning Manager
CredentialsTypically requires a bachelor’s or master’s degree in education, HR, or related field; certifications like CPLP or ATD are commonSimilar educational background; often holds certifications like CPLP or ATD
Work EnvironmentStrategic leadership in organizations, overseeing multiple training programs and teamsOperational management of training programs, working directly with trainers and learners
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for high-level training strategyCommon in corporate and educational settings for day-to-day training operations

The main difference between a Learning Director and a Learning Manager lies in scope and strategic focus. Learning Directors typically oversee overall training strategies and manage teams at a higher level, while Learning Managers focus on executing training programs and managing daily operations. Both roles require relevant certifications and experience, but the Learning Director's role is more strategic and leadership-oriented.

What are the most commonly searched types of Learning jobs in California?

The most popular types of Learning jobs in California are:

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

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

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

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

What cities in California are hiring for Learning Director jobs?

Cities in California with the most Learning Director job openings:

Learning Director jobs near you
Infographic showing various Learning Director 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 $90,729 per year, or $43.6 per hour.

Machine Learning Director

PayJoy

San Francisco, CA

Full-time

Posted 5 days ago

Job description

About PayJoy
 
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success.  Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system.  Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life.  PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.
 
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. This includes ML infrastructure: feature stores (online and offline), model serving, ETL/feature architecture and the infrastructure that helps us serve our customers like our internal offers API.


You will bridge the gap between business strategy (Risk, Fraud, Product) and technical execution, ensuring that our ML infrastructure is scalable, secure and world-class. You are a leader who enables senior-level engineers to solve the company’s most complex problems, fostering an environment where innovation meets production-grade reliability.


You will be part of a data science team on a mission to improve access to credit and technology in emerging markets with the opportunity of creating a big and real positive impact to our millions of users across the countries we operate in.


Key Responsibilities

  • Define the technical roadmap for our ML platform, modeling and internal APIs infrastructure, moving beyond individual projects to oversee the long-term sustainability of our "assembly line" approach to data products and ML model + offers serving.

  • Mentor and manage a team of Staff and Senior-level ML Engineers. Foster a culture of technical excellence, focusing on system design, scalability and code quality.

  • Act as the primary liaison between Data Science/ML Engineering and business stakeholders like Risk, Fraud, Engineering and Product. Translate complex business goals into actionable technical requirements that the team can execute at scale.

  • Own the long-term vision for our ML infrastructure, including deployment, monitoring and MLOps practices. Ensure that all data products are not only performant but also maintainable and compliant with global safety standards.

  • Guide the professional growth of your direct reports, ensuring they are challenged by the right problems and supported by clear career trajectories.

  • Champion the adoption of new technologies (e.g., LLMs, graph databases) and best practices that keep PayJoy at the forefront of financial ML without sacrificing stability.


Requirements

  • PhD or master’s in Computer Science, Statistics, Engineering or a related field

  • 8+ years of hands-on experience in Data Science or ML Engineering, with at least 4+ years in a leadership role managing senior-level or staff-level engineers.

  • A proven track record of designing and delivering large-scale ML systems. You must have a deep understanding of the full ML lifecycle (from feature extraction to production monitoring) and the ability to review system designs and architecture at a high level.

  • Ability to identify bottlenecks in global ML operations and design systematic solutions. You think in terms of platforms, not just individual models.

  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders. You can defend technical decisions to executive leadership and advocate for the "engineering mindset."

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
 
PayJoy Principles
 
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.