REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Machine Learning Engineer, Apple Search & Knowledge Platforms
XX
Senior Machine Learning Platform Engineer - AI, Search & KnowledgeApple • United States
Jetzt Bewerben
XX

Senior Machine Learning Platform Engineer - AI, Search & Knowledge

Apple
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Senior Machine Learning Platform Engineer - AI, Search & Knowledge
Work Locations (2) Submit Resume Join us in building the AI, Search & Knowledge platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products. As a Senior Search & Knowledge Platform Engineer, you'll create seamless integrations between our AI, Search & Knowledge 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. 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) 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 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 $216,200 and $324,800, 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis. Submit Resume Back to search results See all roles in Cupertino
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.