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. In this role, you'll build and scale core platform capabilities for model management and serving infrastructure while creating seamless integrations with the ML frameworks that Apple's teams depend on. You'll design and build systems that feel native to each framework while providing a unified experience across the platform. Your work will include building backend services, designing Python SDKs and APIs, creating integrations across ML tools and frameworks, and solving complex technical challenges that span multiple systems. You'll work closely with ML engineers to understand their workflows, identify pain points, and build platform features that multiply their productivity. You'll collaborate with teams building customer-facing ML features across iOS, macOS, and other Apple platforms, as well as compute infrastructure teams and ML framework owners. Your platform work directly enables the ML innovations that millions of customers experience daily. This role offers the opportunity to have broad impact across Apple's ML initiatives and to shape how thousands of ML practitioners build the intelligent experiences our customers love.

Requirements

• 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

• Create seamless integrations between the ML platform and diverse ML frameworks used across Apple.
• Design Python SDKs and platform integrations for ML practitioners.
• Build and scale core platform capabilities for model management and serving infrastructure.
• Design and build systems that feel native to each framework while providing a unified experience.
• Build backend services and APIs.
• Create integrations across ML tools and frameworks.
• Solve complex technical challenges that span multiple systems.
• Work closely with ML engineers to understand workflows and identify pain points.
• Collaborate with teams building customer-facing ML features across Apple platforms.

What This Job Offers

• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees