Member of Technical Staff, Post-Training & Applied Research
Core
Own the end-to-end post-training pipeline for enterprise AI models, including data curation, SFT, RL, evals, and distillation to deploy specialist models.
Role type
Senior IC Applied Research Engineer (Post-Training & RL)
Builds
Production-ready specialist AI models and evaluation harnesses for enterprise customers
Domain
Generative AI, Large Language Models, Reinforcement Learning
Deliverable
production ML models
Required skills
Post-training pipelines (SFT, RL, DPO, distillation), Reward function design, Evaluation strategy, Data curation & synthetic generation, PyTorch or JAX, Customer collaboration
Preferred skills
RL infrastructure at scale, Model quantization & speculative decoding, Agent post-training, Forward-deployed customer-facing experience
Technologies
PyTorch, JAX, NVIDIA GPUs, AMD Trainium, TPU
Responsibilities
Design reward functions with domain experts, Build trustworthy evaluation harnesses, Structure and generate datasets (including synthetic), Distill models to smaller edge-deployable versions, Optimize time-to-model, Embed with customers as forward-deployed researcher
Seniority
Senior, hands-on IC
