AI Researcher

What you'll do

• Research and prototype learning-based approaches to perception, planning, and control for embodied agents and robots.
• Evaluate and adapt pioneering vision and machine learning models for real-world robotics use cases.
• Integrate computer vision and machine learning expertise into orchestration, navigation, and manipulation systems.
• Contribute to the team's research portfolio through peer-reviewed publications and patents.
• Develop and test models for robotics orchestration, navigation, perception, and manipulation.
• Apply deep learning frameworks to develop solutions for cloud and edge model orchestration.

What we're looking for

• PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field.
• 1+ year of relevant research experience in industry, postdoctoral, or equivalent.
• Experience in computer vision and/or machine learning using deep learning frameworks like PyTorch or TensorFlow.
• Experience in one or more of the following languages: C++, Java, or Python.
• Experience delivering research outcomes through peer-reviewed publications, patents, prototypes, or other measurable technical contributions.
• Exposure to robotics systems, simulation environments, or real-world robot deployment (preferred).
• Familiarity with reinforcement learning, generative models, or multimodal / vision-language-action models (preferred).
• Experience collaborating across a multi-disciplinary research team (preferred).