← All roles

Senior Machine Learning Engineer, Apple Cloud AI

Apple· Software and Services
Apply on company site
Hybrid (Seattle, WA)$142.3k - $263.3kFull-timePosted 2w ago

About the role

Senior ML engineer role within the Apple AI platform under ASE, focused on building managed platform services for frontier AI, including data/feature engineering, embeddings, retrieval, model training/fine-tuning, inference optimization, governance, and production-ready ML pipelines.

Responsibilities

  • Design, build, and optimize large-scale ML platform services used by teams across Apple
  • Build the embedding and retrieval path end to end - fine-tuning encoder models, encoding corpora at scale, building and serving vector indexes, and evaluating retrieval quality
  • Build and operate the feature store teams use for training and serving, keeping both paths consistent off a single feature definition
  • Develop optimization capabilities that reduce cost and improve quality across ML workloads - including model routing, caching, serving configuration, inference optimization, and training efficiency
  • Build managed, self-service experiences so customers can go from data to production AI with minimal friction
  • Build managed training - supervised fine-tuning, reinforcement learning and distillation - so teams can customize models without running their own training infrastructure
  • Build governance and compliance capabilities - lineage, policy enforcement, cost observability, and access control
  • Partner with customer teams across Apple to understand their ML workloads and deliver production solutions
  • Operate production services with on-call responsibilities

Qualifications

  • - 3+ years of experience building production ML systems or ML infrastructure
  • - Strong programming skills in Python and/or Rust/Java
  • - Understanding of end-to-end machine learning workflows - from data preparation through training, evaluation, and deployment
  • - Experience with distributed systems and large-scale data processing
  • - Experience with model serving, inference optimization, or ML pipeline engineering
  • - Experience building APIs and services that other engineers consume
  • - Strong collaboration and communication skills
  • - Comfortable navigating ambiguity in fast-moving areas
  • - BS, MS, or PhD in Computer Science or equivalent practical experience

Skills

Required:PythonRust/JavaEnd-to-end ML workflowsDistributed systemsModel serving / inference optimizationAPIs and servicesCommunication and collaboration
Nice to have:Cloud GPUs / Ray / KubernetesML governance / lineage

Benefits

  • Discretionary employee stock programs
  • Discretionary RSU awards
  • Employee Stock Purchase Plan
  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • educational expense reimbursement
  • potential discretionary bonuses or commissions
  • relocation assistance (if applicable)
Last updated Oct 9, 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.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple