Apple
Senior ML Research Engineer, Post-Training for Personalization
$205K–$394K
Cupertino, California +1 · Senior · Full-time · Posted Oct 15, 2026
- Location
- Cupertino, California
Seattle, Washington - Education
- PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning or comparable professional experience.
About the job
Develops novel LLM post-training methods that help models understand personal context and deliver more relevant, personalized experiences across agentic and multimodal systems.
What you'll do
- Research and develop post-training methodologies for personalized intelligence.
- Prototype and integrate algorithmic innovations with system engineers for emerging agentic experiences.
- Translate research into scalable, high-quality user experiences.
What they ask for
- PhD in Electrical Engineering, Computer Science, or a related field, focused on computer vision and/or machine learning, or comparable professional experience.
- Strong ML and generative modeling fundamentals; hands-on experience in pre-training or post-training large language models and reinforcement learning.
- Familiarity with distributed training and proficiency with ML toolkits such as PyTorch.
- Research contributions shown through top-tier conference publications or open-source algorithm contributions.
Nice to have
- Experience building and deploying Multimodal-LLMs.
- Experience building and deploying agentic systems and LLMs with tool-use and memory capabilities.
Pay
$216,200 and $394,000 USD base salary; $205,400 and $374,300 USD base salary
Tools
PyTorch
AI focus
LLM post-training and personalization, including prompt optimization, reinforcement learning, multimodal reasoning, context compaction, memory systems, and agentic experiences.
Model-written summary · the original posting is authoritative