Qualifications
RequirementsYou WillDesign and implement comprehensive full-stack systems, integrating data engineering, model architecture, and product deployment.Create high-throughput data loaders for extensive multi-modal robotic datasets.Develop tokenizers and transformers tailored for large-scale robotic data.Enhance robot autonomy through innovative advancements in world model architectures.Predict real-world robot performance by utilizing pre-training metrics such as log loss.Must HaveExtensive experience in Python and familiarity with tools like Bazel.Proficient in PyTorch or similar deep learning frameworks.Knowledge of simulation platforms such as Isaac Sim or MuJoCo.Experience with multi-modal generative models that integrate video, audio, text, and action predictions.Capability to design and optimize large-scale data pipelines for model training.Understanding of scaling laws and performance metrics relevant to foundational models.
About the job
AI Research Engineer, World Models
Palo Alto, CA (On-site)
About 1X
At 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various industries.
The Role
As an AI Research Engineer specializing in world models, you will create expansive multi-modal generative models that project future sensor inputs and robotic actions derived from historical data. These foundational models empower robots to comprehend and navigate complex real-world environments. Your responsibilities will span data engineering, model architecture, and deployment, with the goal of enhancing robot autonomy. This position merges innovative research with pragmatic product development, challenging the boundaries of robotic intelligence.
