AIML - Machine Learning Researcher, Foundation Models

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Apple, Computer Hacking, Computer Programming, Computer Science, Computer Skills, Conferences, Data Analysis, Data Management, Deep Learning, JAX (Java API for XML), Machine Learning, Modeling Languages, Operating Systems, Problem Solving Skills, Product Programs, Publications, Python Programming/Scripting Language, Reengineering, Reinforcement Learning, Research Skills, Software Development, Team Player, Use Cases

LOCATION

Seattle, WA

POSTED

17 days ago

**Role Number:** 200641998-3337 **Summary** We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team **Description** We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including vision-language modeling, image and video generation, and Building data pipelines and evaluation suites for visual understanding and generation at scale. **Minimum Qualifications** + Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, KDD, ACL) or a track record in applying deep learning techniques to products + Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow + Ability to work in a collaborative environment. + PhD, or equivalent practical experience, in Computer Science, or related technical field. **Preferred Qualifications** + Experience training or adapting vision-language models + Experience with image/video generation or editing + Post-training, mid-training large language models or multimodal models. + Reinforcement learning, on-policy distillation. + Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, but also improve the experience of billions of users.

About the Company

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