Robotics AI Research Engineer

Maven Robotics develops intelligent robotics for logistics and manufacturing. The Robotics AI Research Engineer will architect and develop embodied foundation models, including Vision-Language-Action frameworks and Action World Models, so robots can reason, adapt, and perform real-world tasks. The role also focuses on data-efficient learning, cross-embodiment generalization, real-world reinforcement learning, and data collection systems.

Responsibilities:

• Architect Embodied Foundations: Design model architectures (VLA, World Models, etc.) that achieve ultra-high task success rates with minimal human demonstrations
• Master Data Efficiency: Develop novel co-training strategies and efficient learning algorithms that leverage diverse data sources—from Internet-scale video to sparse, high-fidelity human interventions
• Generalize Cross Embodiments: Build models capable of zero-shot or few-shot adaptation to new robot configurations, maintaining a high success rate even when proprietary hardware and actuation systems evolve
• Innovate Real-World RL: Formulate and deploy novel Reinforcement Learning and policy extraction methods specifically designed for physical, real-world manipulation
• Design the Data Loop: Collaborate on advanced data collection systems to capture critical human intervention data for model bootstrapping