Senior Multimodal ML Researcher — Production-Scale LLMs

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 216,000 - 325,000; Full time

Benefits offered by this job

Apple stock programs

Medical and dental coverage

Retirement benefits

Employee stock purchase plan

Educational expense reimbursement

Relocation assistance

Job summary

Apple is seeking a senior technical leader to architect and deploy production-scale multimodal ML, focusing on integrating ML with Apple Intelligence capabilities. The role involves leading cross-functional efforts across ML modeling, prototyping, validation and private learning, with emphasis on training/adapting large language models.

You will work with system engineers to prototype bleeding-edge algorithms for emerging agentic experiences and interface with large-scale data infrastructure.

Qualifications

• PhD with 5+ years experience or MS with equivalent experience in CS/EE or related field.
• Hands-on experience training LLMs/adapting pre-trained LLMs for downstream tasks and alignment.
• Modeling experience at the intersection of NLP and Vision.
• Proficiency in ML toolkit of choice, e.g., PyTorch.
• Strong programming skills in Python.
• Publications or open source contributions to algorithms.

Responsibilities

• Architect and deploy production-scale multimodal ML systems.
• Lead cross-functional efforts across ML modeling, prototyping, validation and private learning.
• Partner with system engineers to prototype algorithmic innovations for agentic experiences.

Skills

Python

PyTorch

NLP

Vision

ML fundamentals

Research publications

Education

PhD with 5+ years experience

MS with equivalent experience

Tools

PyTorch

Job description

Apple is seeking a senior technical leader to architect and deploy production-scale multimodal ML, focusing on integrating ML with Apple Intelligence capabilities. The role involves leading cross-functional efforts across ML modeling, prototyping, validation and private learning, with emphasis on training/adapting large language models.

You will work with system engineers to prototype bleeding-edge algorithms for emerging agentic experiences and interface with large-scale data infrastructure.