Staff ML Engineer - Ads Retrieval & Personalization

Apple, Inc.; Cupertino (CA); On-site; USD 216,000 - 325,000; Full time

Benefits offered by this job

Employee stock programs

Discretionary bonuses or commissions

Relocation assistance

Medical and dental coverage

Job summary

Apple Ads is seeking a Staff Machine Learning Engineer - Matching in Cupertino to build state-of-the-art retrieval algorithms for displaying relevant ads. You will own end-to-end development from ideation to production, collaborating with product and business teams while prioritizing privacy-friendly design.

You will apply NLP, information retrieval and ML at scale, contribute to research, and help differentiate Apple's ad products in an Agile environment.

Qualifications

• 7+ years of experience building ML capabilities at scale.
• Proven experience in NLP, information retrieval and search.
• Ability to apply and implement research concepts in production quality code.
• Experience defining clear, testable research hypotheses with business impact.
• Deep understanding of design of experiments and online experimentation at scale.
• Experience contributing and/or reviewing research for top conferences and publications.
• Master's, or equivalent in NLP, ML, Statistics, Forecasting, Optimization, RL or related field with production systems experience.

Responsibilities

• Develop algorithms for our retrieval system.
• Drive step-change improvements in outcomes and platform revenue.
• Own ideation, development, testing and productization end-to-end.
• Work with cross-functional teams to ensure feasibility and robustness.
• Present findings across the organization.

Skills

Machine learning

NLP

Information retrieval

Production code

Design of experiments

Research publications

Education

Master's in NLP/ML/Statistics/Forecasting/Optimization/RL

Equivalent industry experience

Job description

Apple Ads is seeking a Staff Machine Learning Engineer - Matching in Cupertino to build state-of-the-art retrieval algorithms for displaying relevant ads. You will own end-to-end development from ideation to production, collaborating with product and business teams while prioritizing privacy-friendly design.

You will apply NLP, information retrieval and ML at scale, contribute to research, and help differentiate Apple's ad products in an Agile environment.