Senior Generative AI Scientist - Multimodal LLM Systems

Apple Inc.; Cupertino (CA); Hybrid; USD 150,000 - 278,000; Full time

Benefits offered by this job

Apple employee stock programs

Discretionary RSUs

Education reimbursement

Job summary

Apple Inc. is seeking a senior Generative AI Applied Scientist for the SIML – ISE team in Cupertino, CA. You will design, train, and deploy multimodal LLMs, advancing human-centric device interaction and scene understanding, while optimizing for production-ready pipelines and cross-functional collaboration.

The role emphasizes end-to-end lifecycle ownership, strong ML foundations, and the ability to translate research into scalable, user-friendly experiences on Apple devices.

Qualifications

• PhD or Masters in Computer Science, Engineering, or a related field with a focus on machine learning; or equivalent experience
• Strong research skills with first author publications in top tier ML conferences
• Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning
• Experience with multimodal large language models (LLMs)
• Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles

Responsibilities

• Design, train, and deploy large-scale multimodal LLMs, owning the entire lifecycle from initial architecture to final deployment within the constraints
• Implement and demonstrate novel, human-centric user experiences by applying the capabilities of large foundation models
• Create robust, scalable ML models and APIs that can be well-integrated into Apple's production pipelines and training infrastructure
• Work closely with partner teams to build, iterate, and adapt innovative solutions in a dynamic, product-focused environment

Skills

Python

Multimodal LLMs

Transformer models

System design

Research publications

Education

PhD or Masters in CS/Engineering

Tools

PyTorch

TensorFlow

Job description

Apple Inc. is seeking a senior Generative AI Applied Scientist for the SIML – ISE team in Cupertino, CA. You will design, train, and deploy multimodal LLMs, advancing human-centric device interaction and scene understanding, while optimizing for production-ready pipelines and cross-functional collaboration.

The role emphasizes end-to-end lifecycle ownership, strong ML foundations, and the ability to translate research into scalable, user-friendly experiences on Apple devices.