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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.
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