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Sr Machine Learning Engineer - ML Data

Apple· Software and Services
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Hybrid (Cupertino, California / New York City, New York)$184.7k - $277.6kFull-timePosted 1mo ago

About the role

Senior ML Engineer role within Apple's Ads ML Platform, focused on designing, building and scaling back-end systems and ML data infrastructure to support advertising features, models and experiments while upholding privacy commitments.

Responsibilities

  • Experience writing mission-critical code for production machine learning systems
  • Experience building ML infrastructure, frameworks or services used by multiple teams
  • Experience building or operating feature stores, or comparable ML data infrastructure serving production models
  • Experience with embedding management: generating and versioning embeddings, refresh and retirement policy, and storing and serving them for retrieval at scale
  • Solid understanding of the ML lifecycle: training, evaluation, deployment and serving/inferencing, with working experience building and deploying models
  • Understanding of model evaluation, train-serve skew and data drift
  • Working knowledge of deep learning architectures and training frameworks such as PyTorch or TensorFlow
  • Prior experience applying ML at scale in advertising, recommender systems, information retrieval or related domains
  • Experience with training data generation across multi-modal data (text, image and structured), including sampling and point-in-time correctness
  • Experience building production data pipelines for ML systems where scale and performance are critical using distributed processing systems
  • Experience building ML systems using batch and streaming deployments, workflow orchestration and modern storage formats
  • Strong data modeling and data architecture skills, with a high bar for system and data quality: correctness, reliability, testing and validation
  • Strong problem solving, debugging and performance tuning skills, and pride in building automation, tooling and CI/CD
  • Results oriented, with the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
  • Product-minded with a proven ability to seek projects with a sense of ownership

Qualifications

  • PhD in Computer Science or related field with 3+ years of engineering experience and 5+ years of machine learning experience; or MS in Computer Science or related field with 6+ years of engineering experience and 5+ years of machine learning experience; or BS in Computer Science or related field with 7+ years of engineering experience and 5+ years of machine learning experience

Skills

Required:Production ML systemsML infrastructureFeature stores / ML data infrastructureEmbedding managementML lifecycleModel evaluation / data driftDeep learning frameworksML at scale in advertising / recommender systemsMulti-modal data generationProduction data pipelinesBatch & streaming ML deploymentsData modeling & architectureDebugging / performance tuningAutomation / CI-CDCommunication

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • a range of discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments
  • relocation may be eligible
  • employee stock programs including discretionary RSU awards and Employee Stock Purchase Plan
Last updated Sep 18, 2026. Interested? Apply on the company site.

About Apple

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