Research Scientist, VLA Models - Atlas

Job description

Job responsibilities

• Architect and train end-to-end VLA and Large Behavior Models for mobile manipulation on Atlas.
• Build large-scale imitation learning pipelines that learn from human demonstrations, teleoperation, and simulation data.
• Develop policies capable of few-shot generalization across diverse manipulation tasks.
• Create hierarchical behavior systems that combine learned skills into long-horizon behaviors.
• Integrate your models into Atlas’s autonomy stack in collaboration with controls and platform teams.
• Deploy, debug, and iterate your models directly on physical hardware.
• Write high-quality, maintainable Python and C++ code that fits into a large production codebase.

Job requirements

• MS with 3+ years of experience or PhD in Machine Learning, Robotics, Computer Science, or related fields.
• Prior experience training and deploying learned policies for complex behaviors in robots or simulated characters.
• Strong background in: Behavior cloning / imitation learning
• Diffusion policies, ACT, or other modern BC architectures
• Large behavior models or sequence modeling
• Multimodal (vision/language/action) learning
• Experience with modern ML frameworks (PyTorch, JAX) and large-scale training workflows.
• Strong analytical and debugging skills; ability to write reliable, well-structured research code.