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Learning Execution Manager Jobs in California (NOW HIRING)

You'll partner closely with the team and broader Tech Learning leadership to make sure strategy translates into disciplined, repeatable execution. Responsibilities Vendor & Budget Management * Own ...

You'll partner closely with the team and broader Tech Learning leadership to make sure strategy translates into disciplined, repeatable execution. Responsibilities Vendor & Budget Management * Own ...

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Coordinate and drive execution; manage project schedules and work collaboratively across the ...

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Learning Execution Manager information

What is the difference between Learning Execution Manager vs Learning & Development Specialist?

AspectLearning Execution ManagerLearning & Development Specialist
CredentialsTypically requires a bachelor’s degree in education, HR, or related field; certifications like CPLP or ATD are commonSimilar credentials; often holds a bachelor’s degree and certifications in training or HR
Work EnvironmentLeads training programs, manages teams, and oversees execution across departmentsDesigns and delivers training sessions, focuses on content development and delivery
Employer & Industry UsageUsed in corporate training departments across various industriesCommon in HR and training departments within organizations

The Learning Execution Manager focuses on overseeing and managing the implementation of training programs, often leading teams and coordinating across departments. In contrast, the Learning & Development Specialist primarily designs and delivers training content. Both roles require similar credentials and are integral to corporate learning initiatives, but their responsibilities differ in scope and focus.

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

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

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

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Cities in California with the most Learning Execution Manager job openings:

Infographic showing various Learning Execution Manager job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Machine Learning Engineering Manager - Ads Recommendations

Apple

Cupertino, CA • On-site

Full-time

Re-posted 6 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, we strive every day to create products that enrich people's lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking a dynamic and strategic engineering manager to drive innovation in Ads Recommendations. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple Ads and driving key business outcomes.
Description
As a Machine Learning Engineering Manager / Tech Lead Manager, you'll be responsible for building the next generation advertiser recommendation engine to enable advertisers to optimize for their campaign performance goals on Apple Ads. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grow. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like campaign optimization, auction optimization, etc., all of which are critical for delivering an enhanced experience for advertisers on our platform.
- Define and implement the technical strategy for building the next generation recommendation engine to help advertisers optimize for their campaign performance goals.
- Leverage innovative research and technology including the latest GenAI and agentic approaches to deliver these capabilities at scale.
- Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers.
- Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant.
- Execute and analyze A/B tests and pilots to drive continuous improvements in advertiser-facing applications.
- Work closely with engineering and business teams to scale innovations, improving advertiser experience and monetization potential across Apple Ads.
- Operate at utmost scale, ensuring efficient and reliable model deployment and execution.
- Architect and scale intelligence systems, addressing operational concerns and performance optimizations.
- Lead, mentor, and grow a talented team of engineers, setting technical direction and execution cadence.
Minimum Qualifications
8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Track record of leading machine learning engineering teams from design to implementation, ensuring scalability and reliability.
Deep understanding of modern machine learning techniques, statistics, and quantitative optimization.
Experience working with operational teams on deployment, monitoring, and system management.
Experience running A/B tests and pilots for sales / advertiser-facing applications.
Experience building GenAI and agentic systems.
Hands-on experience with Python or Java in a production environment.
Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
Preferred Qualifications
5+ years of experience leading teams that apply advanced statistical/ML methods.
Previous experience in the online advertising domain is a big plus.
MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976