AIML - Machine Learning Research Scientist, Data and ML Innovation

Apple

Seattle, WA

JOB DETAILS
SKILLS
Analysis Skills, Apple, Bayesian Networks, Chemistry, Computer Science, Electrical Engineering, Experiment Design, JAX (Java API for XML), Machine Learning, Modeling Languages, Operations Research, Physics, Problem Solving Skills, Publications, Python Programming/Scripting Language, Scientific Research, Software Patches, Statistics
LOCATION
Seattle, WA
POSTED
15 days ago
**Weekly Hours:** 40 **Role Number:** 200633159-3337 **Summary** Would you like to join a team curious about understanding how foundation models work and to expand their capabilities in scientific domains? We perform and publish novel research and apply our findings to drive product directions. If you like designing clever approaches to understanding complex phenomena and using that knowledge to solve practical problems then this is the position for you. **Description** In this research scientist role you will join a small team of researchers performing fundamental research investigating foundation models for scientific domains. You will be involved in all aspects of performing research including project definition, method development, and experimental design. You will also run your own experiments, then analyze and interpret the results. You will take an active role in writing papers for publication and also using our findings to solve applied problems. You will also have the opportunity to collaborate with partner teams across Apple. **Minimum Qualifications** + PhD in computer science, statistics, physics, chemistry, electrical engineering, or operations research. Other hard sciences may also be considered. + 3 publications in top-tier machine learning, statistics, or natural language processing venues. + Deep knowledge of foundation models and experience training them and applying them to real, complex datasets as demonstrated through publications or code repositories. + Experience designing experiments to understand how foundation models work. + Knowledge of Bayesian statistical methods and how they are used for scientific inference. **Preferred Qualifications** + Experience with large language models and - both training them and using tools like vllm for inference. + Proficient implementing ML models and experiments in Python and Pytorch/Jax. + Familiarity with interpretability methods like activation patching/causal tracing. + Demonstrate the ability to refine ambiguous research ideas to construct a coherent and logically sound story.

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