Senior ML Engineer - Ad Matching & Retrieval

Apple Inc.; Cupertino (CA); Hybrid; USD 150,000 - 278,000; Full time

Benefits offered by this job

Stock programs

Stock Purchase Plan

Relocation assistance

Education reimbursement

Medical coverage

Retirement plan

Job summary

Apple hires a Senior Machine Learning Engineer for Matching in Apple Ads in Cupertino, California. You will develop models, write production code to generate relevant ads, and collaborate with partners to shape new products across the ads platform.

You will lead end-to-end ideation, testing, and deployment of algorithms, tackle large-scale experiments, and ensure privacy-aligned solutions while working with cross-functional teams.

Qualifications

• 4+ years of ML experience across product areas at scale.
• Proven NLP, information retrieval and search experience.
• Ability to translate research concepts into production-quality code.
• Define clear, testable research hypotheses with business impact.
• Strong design of experiments and online experimentation at scale.
• Contribute to or review research for top conferences/publications.
• Master's, or equivalent, in NLP/ML/Statistics with production experience.

Responsibilities

• Develop ML algorithms for ads retrieval and recommendations.
• Own end-to-end ideation, development, testing, and productization.
• Collaborate with product/business teams to drive new ad products.
• Perform large-scale experiments to measure impact and optimize outcomes.
• Lead development of state-of-the-art capabilities while respecting privacy principles.

Skills

NLP

Information retrieval

ML at scale

Experiments design

Production code

Agile

Team collaboration

Education

Master's degree

PhD preferred

Tools

Python

Job description

Apple hires a Senior Machine Learning Engineer for Matching in Apple Ads in Cupertino, California. You will develop models, write production code to generate relevant ads, and collaborate with partners to shape new products across the ads platform.

You will lead end-to-end ideation, testing, and deployment of algorithms, tackle large-scale experiments, and ensure privacy-aligned solutions while working with cross-functional teams.