AIML - Generative Foundation Model/LLM Research Scientist, DMLI

　　Pittsburgh,Pennsylvania,United States

　　Machine Learning and AI

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　　Submit Resume AIML - Generative Foundation Model/LLM Research Scientist, DMLI

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　　Summary

　　Posted:Jan 11, 2024

　　Weekly Hours: 40

　　Role Number: 200533281

　　Play a part in building the next generation of generative AI applications at Apple. We’re looking for scientists and researchers to work on 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.

　　Key Qualifications

　　Demonstrated expertise in machine learning 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.

　　Description

　　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.Education & Experience

　　PhD, or equivalent practical experience, in Computer Science, or related technical field.

　　Additional Requirements

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　　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 (Opens in a new window) .

　　Apple will not discriminate or retaliate against applicants who inquire about,disclose,or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

　　Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco,review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.

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　　Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .