Machine Learning Engineer — Large Language Models, Generative AI & Agentic at Apple

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Large Language Models, Generative AI, Deep Learning, Model Training, Fine-Tuning, Scalable ML Systems, Programming, Problem-Solving, Agentic AI, Tool-Use Models, Multi-Turn Reasoning, Dataset Curation, Prompt Optimization, Model Hosting, Research

Industry

Computers and Electronics Manufacturing

Description

The Intelligence Platform team empowers clients across Apple’s operating systems with high-quality, user-centric knowledge and inferences that enable next-generation user experiences. We’re an applied Machine Learning team that leverages state-of-the-art technologies—Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns—to deliver high-quality inferences at scale! DESCRIPTION We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. You will help translate groundbreaking research into production systems, influence our technical direction, and shape the future of AI at Apple. Agentic AI is an emerging area for our team—prior experience is a plus but not required. What matters most is curiosity, strong ML fundamentals, and the ability to navigate and apply cutting-edge research! MINIMUM QUALIFICATIONS Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems. Demonstrated ability to read, interpret, and apply cutting-edge research to real-world engineering problems. Experience with model training, fine-tuning, or building scalable ML systems. Strong programming and problem-solving skills. PREFERRED QUALIFICATIONS Familiarity with agentic AI, structured tool-use models, or multi-turn reasoning systems. (Not required—experience is a plus, and interest in the domain is highly valued.) Hands-on experience with end-to-end LLM development: dataset curation, fine-tuning, evaluation, prompt optimization, or model hosting. Published research demonstrating contributions to LLMs, Generative AI, or related subfields. Ability to guide technical direction, mentor others, and collaborate effectively in a fast-paced environment.

Responsibilities

The Machine Learning Engineer will translate groundbreaking research into production systems and influence the technical direction of AI at Apple. They will explore LLM-powered agents and advanced reasoning techniques to deliver high-quality inferences.