Staff Applied Research and ML , Responsible AI and Safety

Cupertino Seattle Until 9/22/2026 First posted July 24, 2026 Last posted July 24, 2026
Job description

Play a part in building the next generation of generative AI applications at Apple. We’re looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.

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

Minimum Qualifications

PhD or equivalent experience, in Computer Science, or related technical field is helpful
Demonstrated expertise in ML research and/or ML production deployment lifecycle
Deep understanding of LLM
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Ability to formulate a research problem, design, experiment, implement and communicate solutions
Ability to work in a diverse collaborative environment

Preferred Qualifications

Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
Experience working on Responsible AI and AI Safety

About this role

Summary

Research and develop safe deployment methods for large language models and diffusion models at Apple.

Job title

Staff Applied Research and ML , Responsible AI and Safety

Experience level

PhD or equivalent experience

Industry

software

Location requirements

remote possible, candidates in Cupertino or Seattle preferred

Salary

Not specified

Management role

No

Skills & keywords

Required skills

ML researchPyTorchTensorFlowdeep learningproblem formulation

Preferred skills

publicationsResponsible AIAI safety

Specializations

ML researchlanguage modelsAI safetydeep learning
Locations

Structured locations inferred from the posting.

Cupertino, CA, USA

Remote City

Seattle, WA, USA

Remote City