Research Engineer

Research EngineerPantheon is building general-purpose robots. Research velocity — experiments shipped per week — is the primary bottleneck on how fast Pantheon gets there. Research Engineers directly determine that rate.Pantheon is looking for a Research Engineer to work alongside researchers on large pretraining runs, RL post-training, and the data and infrastructure that make them scale. You will own the loop from the H100 training cluster to robots running on a factory floor.This is a role for a strong software engineer first, with deep ML intuition — someone who has implemented models end-to-end, not just run existing ones. If you want your engineering work to directly determine how fast a robotics frontier gets pushed, this is that role.What You'll DoImplement model architectures and training recipes alongside researchers and make them run efficiently at scaleBuild and maintain data pipelines including collection, curation, filtering, and augmentation across vision, proprioception, action, and languageOwn training infrastructure including distributed training, checkpointing, profiling, and debugging across the GPU fleetBuild evaluation that catches regressions and produces real signal, both offline and on-robotOwn the loop from training cluster to deployed robot and close it with data from the fieldYou Should HaveStrong software engineering foundations with deep ML intuitionExperience implementing ML models end-to-end, not just running existing onesFluency in PyTorch or JAX with hands-on distributed training experienceAbility to debug across the full stackComfort moving fast in ambiguityNice to HaveExperience with large-scale training infrastructure including multi-node, multi-GPU, and cluster environmentsPrior work on large multimodal modelsPublications at NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, or similar venuesExperience deploying models on physical hardware and optimizing for latency and compute at the edge