Senior Staff Research Engineer/Scientist
Core
Lead research on enterprise agents that reason over multimodal information, use tools, and execute reliable actions across stateful workflows.
Role type
Staff Research Scientist (Agentic AI & Model Post-Training)
Builds
Enterprise agent systems, training environments, evaluation benchmarks, and production-ready model improvements.
Domain
Artificial Intelligence, Large Language Models, Agentic Systems, Enterprise Software
Deliverable
production ML models | research | infrastructure
Required skills
Machine learning, deep learning, reinforcement learning, large language model training, agentic AI (tool use, planning, memory), distributed training, Python, PyTorch, experimental design, software engineering
Preferred skills
Multimodal modeling, computer vision, speech/audio, synthetic data generation, automated experimentation, GPU infrastructure management
Technologies
PyTorch, Python, LLMs, RL, DPO, GRPO, MCP, distributed training stacks
Responsibilities
Design end-to-end research projects for long-horizon agents; research model post-training methods (SFT, RL, DPO); build training environments and benchmarks; run rigorous ablations and scaling experiments; develop distributed pipelines for training and inference; partner with engineering to ship validated methods.
Seniority
Staff, independent technical leadership
