About the role

What will you do at Apple?

Join us as we build world-class groundbreaking products for our customers!

Apple's Responsible AI and Safety team focuses on innovative technologies,

methodologies, and research to enable fantastic user experiences and to push the

frontier of machine learning. Our team is looking to hire a leader with a strong

track record in Applied Research, who is passionate about ML and foundation

models with a focus on responsibility, fairness, and safety. In this role, you

will lead the research and application of ML methods for technologies that power

breakthrough user experiences while upholding Apple's values, privacy, and

quality standards.

DESCRIPTION

As a manager, you will lead a growing team to innovate and deliver high-impact

features with state-of-the-art machine learning technologies. You will be

working on the design and development of core technologies in the areas of GenAI

and Responsible AI and Safety. An ideal candidate should have experience leading

and supporting teams to develop ML-based solutions from initial concept through

product release. They will be working closely on safety policies and risk

assessment teams, in leading our evaluation efforts.

MINIMUM QUALIFICATIONS

Proven technical leadership with 5+ years of team management or leadership

experience 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

Which skills does this role require?

Machine LearningLarge Language ModelsTeam ManagementApplied ResearchPyTorchTensorflowDeep LearningGenAIRisk AssessmentML Production DeploymentLLMFairnessComputer ScienceTensorFlowLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.