AI Researcher
Core
Building next-generation agentic AI systems that learn from real-world interaction data to improve reasoning, planning, and decision-making.
Role type
Senior IC AI Researcher (Agentic & Multimodal Systems)
Builds
Deployed agentic AI systems with enhanced reasoning and tool use capabilities.
Domain
Artificial Intelligence, Machine Learning, Multimodal Systems
Deliverable
production ML models
Required skills
Large-scale machine learning, LLMs, multimodal AI systems, RAG, LLM fine-tuning, reinforcement learning (RLHF, DPO, GRPO), representation learning, embeddings, speech/audio modeling, Python, PyTorch, Hugging Face, evaluation framework design
Preferred skills
None stated
Technologies
PyTorch, Hugging Face
Responsibilities
Conduct advanced research on agentic AI systems trained on real-world interaction data; Design and experiment with learning frameworks (RAG, fine-tuning, RLHF, DPO, GRPO); Develop multimodal representation learning approaches; Improve speech and audio intelligence systems (STT, ASR); Define evaluation methodologies for agent performance; Translate behavioral signals into structured training objectives; Collaborate with engineering and product teams to bring research into production.
Seniority
Senior, hands-on IC