Senior Machine Learning Platform Engineer - AI, Search & Knowledge
Role details
Job location
Tech stack
Job 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.
Requirements
Do you have experience in System design?, Do you have a Bachelor's degree?, 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
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, GCP, Azure) and container orchestration (Kubernetes)
Benefits & conditions
4.14.1 out of 5 stars Cupertino, CA $212,000 - $318,400 a year, Pulled from the full job description
- Employee stock purchase plan
- Health insurance
- Retirement plan
- Dental insurance
- RSU, 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 $212,000 and $318,400, 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.
