Senior ML Research Engineer — Personalization Post-Training

Apple Inc.; Cupertino (CA); On-site; USD 216,000 - 394,000; Full time

Job summary

Apple's Intelligent System Experience team in Cupertino seeks a Staff Research Engineer to advance post-training methods for personalized LLMs, focusing on user context, memory, and multimodal reasoning. You will collaborate with system engineers to prototype bleeding-edge algorithms and translate research into scalable user experiences.

We value strong expertise in reinforcement learning, context compaction, and large-scale modeling, with a track record of impactful research contributions and

Qualifications

• PhD in EE/CS or related field with ML/vision focus.
• Strong ML and generative modeling fundamentals.
• Hands-on experience in pre-training or post-training of large language models, and reinforcement learning.
• Familiarity with distributed training.
• Proficiency in using ML toolkits, e.g., PyTorch.
• Proven track record of research contributions through publications or open source contributions.

Skills

ML fundamentals

Generative modeling

Reinforcement learning

Distributed training

Multimodal reasoning

Agentic systems

Education

PhD in Electrical Engineering/Computer Science or related field

Tools

PyTorch

Job description

Apple's Intelligent System Experience team in Cupertino seeks a Staff Research Engineer to advance post-training methods for personalized LLMs, focusing on user context, memory, and multimodal reasoning. You will collaborate with system engineers to prototype bleeding-edge algorithms and translate research into scalable user experiences.

We value strong expertise in reinforcement learning, context compaction, and large-scale modeling, with a track record of impactful research contributions and