Your Job Description as Senior Machine Learning Platform Engineer
In this role as a Senior Machine Learning Platform Engineer, you will 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 will 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 will work closely with ML engineers to understand their workflows, identify pain points, and build platform features that multiply their productivity.
You will 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 their customers love.
Minimum Qualification For This Role at Apple:
- 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.
Preferred Qualification For This Role at Apple:
- 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.
Salary & Benefits
At Apple, base pay is one part of their 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 will 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. They 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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