Senior Machine Learning Manager - Ads Predictions Senior Machine Learning Manager - Ads Predictions

About the Role

Key Responsibilities

• Lead the prediction teams responsible for creating models to understand user responses to ads.
• Work across engineering and business teams to scale deliverables and improve user experience and monetization.
• Develop and implement ad algorithms, yield optimization solutions, and conduct marketplace data analyses within an ad network.
• Oversee the strategy and development of inference models to predict user interaction with ads.
• Propose, design, and analyze new algorithms; detect meaningful data patterns and signals.
• Measure user, campaign, and app performance, and analyze results of large-scale experiments.
• Collaborate with product management to build roadmaps and lead teams in algorithm development.

Requirements

• 7+ years of applying and leading teams that utilize advanced statistical/ML methods with large, complex data sets.
• Experience in investigating multiple streams of ads quality data, drawing conclusions, and recommending actions.
• Knowledge in domains such as Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or related fields.
• Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.
• Experience developing and leading teams in Python or Java.
• Familiarity with databases, SQL, and scripting languages.
• Proven ability to take requirements from design through implementation independently and with teams.
• Experience working closely with operational teams on deployment, monitoring, and management.
• Ability to manage team performance and drive outcomes.
• MS in AI/ML/Mathematics/CS or related field.

Nice to Have

• 10+ years applying and leading teams that utilize advanced statistical/ML methods with large, complex data sets.
• PhD in AI/ML/Mathematics/CS or related field.

Qualifications

• MS in AI/ML/Mathematics/CS or related field.
• 7+ years of relevant experience in applying and leading ML teams.
• Experience in developing in Python or Java.
• Familiarity with databases, SQL, and scripting languages.

Benefits & Perks

• Base pay range between $198,300 and $342,800, depending on skills, qualifications, experience, and location.
• Opportunity to participate in Apple's discretionary employee stock programs, including restricted stock units and stock purchase plans.
• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for educational expenses related to career advancement.
• Potential eligibility for discretionary bonuses, commissions, and relocation assistance.