Senior Machine Learning Engineer, AI, SIML

Apple

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Apple, Artificial Intelligence (AI), Computer Programming, Computer Science, Cross-Functional, Deep Learning, Hardware Design, Machine Learning, Open Source, Python Programming/Scripting Language, Software Design
LOCATION
Seattle, WA
POSTED
30+ days ago
**Role Number:** 200651112-3337 **Summary** Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! **Description** We're seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with PyTorch internals and high-performance ML infrastructure, we'd love to hear from you. We encourage releasing contributions as open source. **Minimum Qualifications** + PhD or Master's degree in Computer Science, or equivalent industry experience, with 3+ years of experience in the AI/ML field. + Strong Python programming skills. + Solid understanding of software-hardware co-design principles and algorithms. + Solid understanding of the PyTorch software stack and experience maintaining state-of-the-art ML frameworks. + Strong understanding of LLM architectures and their core building blocks. **Preferred Qualifications** + Experience working on AI/ML-optimized runtime stacks. + Familiarity with parallelization algorithms for large model training. + Familiarity with recent developments in foundation model architectures. + Experience with parallel training libraries such as PyTorch Distributed (torch.distributed), DeepSpeed, or FairScale. + Experience building ML models for on-device inference. + Publication record at ML conferences such as MLSys, NeurIPS, etc.

About the Company

A

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs