Senior Applied Scientist
Core
Research and productionize advanced ML/LLM systems for autonomous AI agents that plan, reason, and execute complex tasks.
Role type
Senior Applied Scientist (Reinforcement Learning & LLMs)
Builds
Autonomous AI agents, large-scale training/inference pipelines, and production ML systems
Domain
Artificial Intelligence, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
Reinforcement Learning, LLM training and fine-tuning, Python, PyTorch, distributed/multi-GPU training, model optimization (distillation/quantization), NLU/NLG, experimental design
Preferred skills
Rust, synthetic data generation, automatic speech recognition (ASR), text-to-speech (TTS), speech-to-text (STT), software architecture
Technologies
Python, Rust, PyTorch, ONNX
Responsibilities
Research, prototype, train, evaluate, and deploy advanced ML and LLM systems; Develop and apply state-of-the-art RL techniques including RLHF; Design large-scale training and evaluation datasets; Build high-performance multi-GPU training and inference pipelines; Build robust, scalable production ML systems and write high-quality code; Advance natural-language and speech capabilities; Translate novel academic research into practical capabilities
Seniority
Senior, hands-on IC
