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ML Model Integration Platform Eng

Apple· Software and Services
Apply on company site
Seattle, WA$175k - $308.5kfull-timePosted 2mo ago

About the role

Senior Platform Engineer focusing on Apple Intelligence and Private Cloud Compute to integrate Large Language Models and AI models into Apple's products. Responsible for architecture, design, and delivery of systems and platform components that enable safe, scalable ML-powered features across the product stack.

Responsibilities

  • Develop and maintain runtime services, APIs, tooling, and automation for model consumption, deployment, versioning, evaluation, and monitoring.
  • Develop internal tools (CLIs, micro-services, automation pipelines) to enhance developer experience.
  • Drive architectural decisions for distributed systems involved in model serving, prioritizing reliability, throughput, observability, and cost efficiency.
  • Collaborate cross-functionally with product, infrastructure, security, and engineering teams to identify limitations, create solutions, and align on technical direction.
  • Provide technical mentorship, elevate engineering standards, and lead initiatives that improve the platform as it evolves.
  • Design and deliver platform components that integrate ML Models into our application stack.
  • Act as a systems thinker who can map how changes propagate across the platform, guiding teams toward resilient and future-proof approaches.
  • Navigate rapidly changing requirements and adapt plans swiftly without compromising long-term objectives.

Qualifications

  • 5+ years of software engineering experience in building and operating production systems.
  • Strong background in distributed systems and an ability to reason about scale, concurrency, and failure modes.
  • Proven experience designing and implementing internal tools, automation, and service-level components.
  • Ability to collaborate closely across teams and influence decisions through clarity, empathy, and technical depth.
  • A holistic mindset—seeing beyond individual components to understand and communicate system-level trade-offs.
  • Comfortable working in dynamic, fast-changing environments where you help create structure, not wait for it.
  • Proficient in scripting and programming languages such as C/C++, Python, SQL, Shell
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science or related field
  • Understanding and practical experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).
  • Solid background in one or more major cloud providers (AWS, GCP, Azure), including familiarity with compute, storage, networking, and security services relevant to ML workloads.

Skills

Required:distributed systemsinternal toolingmodel servingscripting languages

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission payments (possible)
  • Relocation assistance (possible)
  • Employee stock programs and stock purchase plan Eligibility may apply
Last updated Aug 21, 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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