Overview
On Site
USD 201,300.00 - 302,200.00 per year
Full Time
Skills
Computer Hardware
Evaluation
Artificial Intelligence
FOCUS
Innovation
Productivity
Customer Facing
IOS Development
OS X
Customer Experience
Computer Science
Software Engineering
Backend Development
Python
PyTorch
TensorFlow
JAX
GraphQL
Microservices
Database
Collaboration
Communication
Articulate
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Orchestration
Kubernetes
Optimization
Open Source
Training
Machine Learning (ML)
Workflow
Machine Learning Operations (ML Ops)
Management
Payments
Job Details
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.
Description 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.
Minimum Qualifications
Preferred Qualifications
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
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. You'll also receive benefits including: 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. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Description 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.
Minimum Qualifications
- 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, Google Cloud Platform, Azure) and container orchestration (Kubernetes)
Preferred Qualifications
- 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
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.
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. You'll also receive benefits including: 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. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.