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Apple

Machine Learning Engineering Manager - Ads Recommendations

Cupertino, CA$206,200 – $356,400Posted Oct 6, 2026

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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.

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.

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.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $206,200 and $356,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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