AIML - Senior Machine Learning Platform Engineer, Machine Learning Platform and Technology

Apple • Cupertino, CA

1d • $212,000 - $318,400

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

• 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
• 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, as well as compute infrastructure teams and ML framework owners

Benefits

• Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition.
• Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
• Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
• Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees