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Sr Machine Learning Engineer - ML Data

Apple· ML Platform / Ads ML Platform
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Hybrid (New York City, NY), Hybrid (Cupertino, CA)full-timePosted 1mo ago

About the role

Senior role in Apple's ML Platform within the Ads organization. Design, develop and operate secure, scalable back-end systems and ML data infrastructure to enable Ads teams to build and scale ML features, models, and applications while upholding Apple’s 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 experienceML infrastructure / servicesFeature stores / ML data infrastructureEmbedding managementML lifecycleModel evaluation / data driftDeep learning frameworksML at scale in ads/recommendationMulti-modal data generationProduction data pipelines for MLBatch and streaming ML deploymentsData modeling / architectureProblem solving / debugging / automationCommunication / collaborationOwnership / product mindset

Benefits

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

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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