Senior ML Research Engineer, Post-Training for Personalization
Core
Developing novel algorithms for LLM post-training to enable personalized intelligence and adapt models to individual user needs.
Role type
Staff Research Engineer (LLM Post-Training & Personalization)
Builds
Scalable, high-quality personalized AI experiences for smart assistants and creative workflows.
Domain
Generative AI, Large Language Models, Personalization, Multimodal Reasoning
Deliverable
production ML models
Required skills
LLM post-training, reinforcement learning, prompt optimization, multimodal reasoning, context compaction, distributed training, PyTorch
Preferred skills
Multimodal-LLM deployment, agentic systems, tool-use, memory capabilities
Technologies
PyTorch
Responsibilities
Drive research in post-training methodologies, prototype algorithmic innovations with system engineers, interface with large-scale modeling infrastructure.
Seniority
Staff, hands-on IC with research leadership
