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# ML Model Integration Platform Eng

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, C++ (Programming Language), Cloud Computing, Computer Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, Software Engineering, SQL Databases, Systems Integration, Management of Software Versions, Private Cloud Environment, Scripting, Google Cloud, Delivery Pipeline, Concurrency, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker, Programming Languages, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ml-model-integration-platform-eng-seattle-wa--c0e70db6-6e03-4376-882f-e5c73de2a781

## About the Role

System Integration (SI), Apple, Cloud Computing, Private Cloud, Ecosystems, ASE, Modeling Languages, Engineering, Electrical Engineering, Concurrency, 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.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 fieldUnderstanding 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.

## Description

becoming a key partner in the organizations delivery of AI-driven experiences. The ideal candidate is a systems thinker who can navigate fast moving requirements while maintaining a long-term vision for resilient and scalable solution.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