Tech Stack

Description

Conduct applied research and design algorithms in geometric computer vision and foundation models for industrial robotics. Work with cross-functional teams to deploy AI models at scale, focusing on sim-to-real transfer and synthetic data generation.

Requirements

• Master's or PhD in Computer Science, Robotics, or related field
• 3 years experience in robotics software development or research
• Proficiency in Python and ML/DL frameworks (PyTorch, Jax, Tensorflow)
• Knowledge of robotics perception or manipulation algorithms
• Experience with robot hardware or simulation environments

Responsibilities

• Design innovative algorithms for geometric computer vision and foundation models
• Develop deep learning approaches to mitigate hallucinations and improve accuracy
• Guide development of synthetic data for training foundation models at scale
• Collaborate with research partners to ideate new architectures
• Advise engineering teams on translating research capabilities into robust product features