Staff Research Engineer/Scientist

📋 Description Design and execute end-to-end research projects that improve long-horizon enterprise agents across Research model post-training methods such as continued pretraining, supervised fine-tuning (SFT) Research harness-level optimization across prompts and task framing, tool and schema design Build improvement flywheels that mine trajectories and production-safe signals, identify recurring Create realistic, stateful training environments and benchmarks for enterprise workflows, with Run rigorous ablations and scaling experiments; reason explicitly about variance, contamination 🎯 Requirements Experience in leveraging or critically thinking about how to integrate AI into work processes 7+ years of relevant ML/AI research or engineering experience, or equivalent evidence of research A track record of independently taking ambiguous research questions from hypothesis through Strong foundations in machine learning, deep learning, reinforcement learning and/or Advanced Python and PyTorch skills, including the ability to modify training loops, model code Practical depth in agentic AI: tool use, environments, planning/reasoning, memory/context