AIML - Generative Foundation Model/LLM Research Scientist, DMLI



Cupertino, CA, USA
Posted on Friday, June 14, 2024


Weekly Hours: 40
Role Number:200555309
Play a part in building the next generation of generative AI applications at Apple. We’re looking for Scientists and Researchers to tackle ambitious projects that will impact the future of Apple and our products. In this role, you’ll have the opportunity to work on innovative problems in machine learning, particularly focused on LLM's. As a member of the Apple HCMI group, you will be working on Apple's generative models that will power a wide array of new features, as well as longer term research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in such models.


- Research and advance red teaming methods for LLM's and diffusion models - Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products - Develop tools, metrics, and datasets for assessing and evaluating the safety of LLM's over the model deployment lifecycle, as well as methods and tools to help interpret and explain failures in language models

Minimum Qualifications

  • Demonstrated expertise in ML research
  • Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
  • Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
  • Deep understanding of NLP and LLM's
  • Ability to formulate a research problem, design, experiment, implement and communicate solutions
  • Ability to work in a diverse collaborative environment

Key Qualifications

Preferred Qualifications

  • PhD or equivalent practical experience, in Computer Science, or related technical field is helpful

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.