Research Engineer, World Models
New
Remote US & CanadaFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonMachine LearningPyTorchLLMGenerative AIComputer Vision
Requirements
- Strong Python & PyTorch (or JAX) skills
- Strong software-engineering fundamentals
- Extensive experience with distributed training and large-scale model deployment
- Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience
- Expertise in building and deploying generative or predictive models of the physical world
- Experience working in a close-knit team of researchers and engineers
Responsibilities
- Design, implement, and scale state-of-the-art generative and predictive world-modeling systems
- Collaborate closely with Research Scientists to translate cutting-edge model prototypes into robust, large-scale, distributed training and inference pipelines
- Optimize model training and inference for efficiency, speed, and reliability on large-scale datasets
- Build large scale data pipelines to build high quality datasets for training
- Ensure the quality, stability, and maintainability of the world model codebase and infrastructure
- Stay on top of emerging advances in generative AI, distributed systems, and efficient model deployment in robotics
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