Intern, Autodesk Research

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

As a 2023 Intern at Autodesk Research, you’ll work towards building advanced robotics software, capabilities, and applications. We are a team of researchers, engineers, and industry domain experts working on projects involving reinforcement learning, deep learning, computer vision, grasping, motion planning, simulation, human-robot cooperation and more, focused on robotic applications in manufacturing and construction.

We are looking for an intern interested in grasping and manipulation, with a strong background in computer vision and sensor fusion and an interest in extending the state of the art in grasp identification and analysis.

Within the Autodesk Robotics Lab, we have state of the art industrial robotics, in-house computing and sensing systems for building full systems demonstrations, and as part of the research facility at Pier 9 in San Francisco we have a large selection of workshop and fabrication facilities. Autodesk's Robotics Lab is active in the wider research community, targeting publications at ICRA, IROS and other top-tier conferences. We collaborate with top academic labs, combining the best of an academic environment with product-driven research.

You will work on-site in our San Francisco robotics lab with domain experts in robotics, AI, and manufacturing.

Responsibilities:

• Design and implementation of new capabilities in robotic grasping, including grasp identification, grasp analysis, and adaptive grasping for manipulation.
• Work with the team to build integrated robotic applications around these core capabilities.
• Improve existing software
• Communicate ideas, problems, and results with the team
• Co-publish with Autodesk Robotics and AI Lab collaborators
• Read papers and perform literature reviews
• Evaluate existing algorithms and test the performance of novel algorithms against these benchmarks.

Minimum Qualifications:

• Full-time student pursuing an MS or Ph.D. in Robotics, Computer Science, Computer Vision, Machine Learning, Mechanical Engineering or an affiliated discipline in an accredited program with at least one academic term to complete post-internship
• Broad understanding of one or more of the following: robotics, machine learning, deep learning, computer vision
• Excellent programming and software development skills, with experience in Python/C++, and git.
• Proficiency with machine learning platforms and libraries (eg. PyTorch, TensorFlow, RAY, etc)
• Experience conducting your own research projects and publishing the results
• Excellent communicator and team player
• Interest or experience in developing industrial robotic applications

Preferred qualifications:

• Prior experience developing and working with robotics and simulation software
• Prior research experience in one or more pertinent areas such as object recognition, robotic grasping, 3D vision and scene understanding, etc.
• Some experience in at least one of: computer vision, reinforcement learning, self-supervised learning, deep learning

About the US Intern Program 

The 2023 U.S. program runs for 12 weeks (May 22 – August 11 or June 12 – September 1) and will be remote (subject to change). All internships are paid. As an intern, you will have the opportunity to contribute to meaningful projects, be mentored by industry leaders, work alongside peers from universities all over the country and participate in tech talks and other activities designed to support your personal and professional development. US recruiting begins in the Fall and concludes end of March. Our Internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

Salary is one part of Autodesk’s competitive package. For U.S.-based roles, we expect a starting annualized base salary between $20,300 and $35,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range.