AIML - Sr. Machine Learning Platform Engineer, MLPT

Apple • Seattle, WA

66d

About The Position

Join us in building the ML platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products. As a Senior ML Platform Engineer, you'll create seamless integrations between our ML platform and the diverse ML frameworks used across Apple, including PyTorch, JAX, and beyond. You'll design Python SDKs and platform integrations that make it effortless for ML practitioners to move between datasets, training, model serving, and evaluation. We're looking for a versatile engineer who thrives at the intersection of platform engineering, ML systems, and developer experience. Your work will enable teams building Apple Intelligence and other AI-driven experiences to focus on innovation rather than infrastructure complexity.

Requirements

• Bachelor's degree in Computer Science, related field, or equivalent practical experience.
• 10+ years of software engineering experience with strong backend development skills and platform engineering mindset.
• Deep proficiency in Python with proven experience designing SDKs, libraries, and APIs for technical users.
• Experience integrating with complex ML frameworks (PyTorch, TensorFlow, JAX, HuggingFace) and building production-grade backend services (REST/GraphQL APIs, microservices, databases).
• Track record of building end-to-end workflows that span multiple systems and teams, navigating complex technical landscapes to deliver pragmatic solutions.
• Strong cross-functional collaboration and communication skills to understand diverse stakeholder needs, technical requirements, and articulate design decisions across ML engineering, infrastructure, and product teams.
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).

Nice To Haves

• Experience with model serving systems (vLLM, Ray Serve, TorchServe, TensorRT) or inference optimization.
• Contributions to open-source ML frameworks, tools, or libraries.
• Understanding of distributed training, model parallelism, and large-scale ML workflows.
• Familiarity with MLOps practices, model management, and experiment tracking systems.

Responsibilities

• Build and scale core platform capabilities for model management and serving infrastructure.
• Create seamless integrations with the ML frameworks that Apple's teams depend on.
• Design and build systems that feel native to each framework while providing a unified experience across the platform.
• Build backend services, design Python SDKs and APIs, and create integrations across ML tools and frameworks.
• Solve complex technical challenges that span multiple systems.
• Work closely with ML engineers to understand their workflows, identify pain points, and build platform features that multiply their productivity.
• Collaborate with teams building customer-facing ML features across iOS, macOS, and other Apple platforms.
• Collaborate with compute infrastructure teams and ML framework owners.

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees