Machine Learning Engineer, Proactive - Large Language Models, Generative AI & Agentic Systems

San Francisco, CA, US • Posted 22 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Operating Systems
  • Art
  • Large Language Models (LLMs)
  • Computer Science
  • Deep Learning
  • Training
  • Machine Learning (ML)
  • Problem Solving
  • Conflict Resolution
  • Artificial Intelligence
  • Reasoning
  • Evaluation
  • Optimization
  • Hosting
  • Research
  • Generative Artificial Intelligence (AI)
  • Technical Direction
  • Mentorship
  • Collaboration

Summary

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!

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.\n\nAgentic 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!

Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.\nStrong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems.\nDemonstrated ability to read, interpret, and apply cutting-edge research to real-world engineering problems.\nExperience with model training, fine-tuning, or building scalable ML systems.\nStrong programming and problem-solving skills.

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.)\nHands-on experience with end-to-end LLM development: dataset curation, fine-tuning, evaluation, prompt optimization, or model hosting.\nPublished research demonstrating contributions to LLMs, Generative AI, or related subfields.\nAbility to guide technical direction, mentor others, and collaborate effectively in a fast-paced environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: c022144faabfc9bb5942e2fa6e8b6258
  • Posted 22 hours ago
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