AIML - Distinguished Engineer, Foundation Models at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep learning, Foundation models, Python, JAX, PyTorch, Tensorflow, Natural language processing, Multi-modal understanding, Reward modeling, Agentic settings, Information retrieval, On-device intelligence, Research, Algorithm optimization, Apple silicon

Industry

Computers and Electronics Manufacturing

Description

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team. DESCRIPTION We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. As a distinguished engineer, you will identify new directions in research or products and land big impacts along these directions and influence the direction of Apple’s AI efforts. MINIMUM QUALIFICATIONS Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow Ability to work in a collaborative environment PREFERRED QUALIFICATIONS Web-scale information retrieval Human-like conversation agent Multi-modal perception for existing products and future hardware platforms On-device intelligence and learning with strong privacy protections PhD, or equivalent practical experience, in Computer Science, or related technical field

Responsibilities

You will lead the development of frontier foundation models optimized for Apple silicon and integrated into the OS. You will identify new research directions and influence the strategic AI efforts across the company.