Intern, Robotics Perception Research

Position Overview 

As a 2025 Intern at the Autodesk Robotics Lab, you will conduct cutting-edge research and build advanced robotics software and capabilities. We are a team of researchers, engineers, and industry domain experts working on projects that range from reinforcement learning, deep learning, computer vision, motion planning, simulation, human-robot collaboration and more for robotic applications in manufacturing and construction. 

We have state-of-the-art robots, compute, sensing, and fabrication capabilities in-house for conducting advanced research and building full system demonstrations at Pier 9 in San Francisco, with a beautiful view of the San Francisco Bay. This internship will be onsite. 

Autodesk's Robotics Lab is active in the wider research community, targeting publications at ICRA, CoRL, RSS, iROS, CVPR and other top-tier conferences. We collaborate with top academic labs, combining the best of an academic environment with product-driven research. 

Responsibilities 

• Research, design and develop solutions for perception tasks like object detection, pose estimation, inspection and visual servoing and improve upon state-of-the-art methods 

• Contribute to data collection, annotation, and data preparation workflows using publicly available or custom datasets 

• Train, fine-tune, and evaluate deep learning models and integrate the models into broader robotic applications  

• Refine algorithms and make pipelines efficient to improve system performance and cycle time 

• Present findings effectively and maintain documentation for models, workflows, and tools 

• Co-author papers and contribute to publications in collaboration with the team 

Minimum Qualifications

• A current degree (MS or Ph.D.) in Computer Vision, Machine Learning, Computer Science, Robotics or an affiliated discipline in an accredited program with at least one academic term to complete post-internship 

• Broad understanding of machine learning, deep learning, computer vision 

• Excellent programming and software development skills with experience in Python and git. 

• Expertise in ML & DL platforms & libraries (PyTorch, TensorFlow, Ray, WandB, AWS, etc.) and prior experience developing and working with machine learning for perception 

• Experience conducting research and publishing results 

• Excellent communication and collaboration skills 

Preferred Qualifications 

• Deep expertise in computer vision, deep learning and robotics with a track record of publications in top-tier conferences