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Machine Learning Engineer, Foundation Model Services

Apple· Machine Learning and AI
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Hybrid (Seattle, Washington, United States; Santa Clara, California, United States)$175k - $308.5kFull-timePosted 2mo ago

About the role

Role within Apple’s Foundation Model Services team focused on building frameworks, services, and tools to run Apple's largest foundation models in production, powering intelligent experiences across Apple products at scale. Collaborate with product teams and researchers to prototype and deploy inference for large language, vision, and speech models with low latency.

Responsibilities

  • Work closely with product teams to build production-grade solutions that launch models serving customers in real time.
  • Partner with foundation model researchers to prototype and develop inference for cutting-edge model architectures, and build tools that help understand and remove performance bottlenecks across different hardware and use cases.
  • Write high-quality code, learn quickly in a fast-moving field, and grow your impact as you take on larger pieces of the system.

Qualifications

  • 2+ years of industry experience building and shipping production software and/or machine learning systems.
  • Proficiency in a modern programming language such as Go or Python.
  • Experience deploying and operating services on a cloud platform (AWS, Azure, GCP, or equivalent) using containers and Kubernetes/Docker.
  • 5 year+ industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
  • Experience building or operating high-throughput, low-latency services.
  • Strong communication and collaboration skills, with the ability to partner across research and product teams.
  • Bachelor’s degree or higher in Computer Science or related technical field.

Skills

Required:Go or PythonCloud platformsDistributed systems / low-latency servicesCollaboration

Benefits

  • Apple benefits including comprehensive medical and dental coverage, retirement benefits, discounted products and free services, reimbursement for certain educational expenses, and relocation if applicable.
  • Discretionary bonuses or commission payments, and eligibility for employee stock programs including RSUs and Employee Stock Purchase Plan.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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