Intern, Machine Learning Research

Key Skills

Python Programming, Machine learning techniques, Deep Learning, PyTorch, TensorFlow, CAD/CAM, Computer Graphics, Computer Vision (CV), Knowledge graph, Generative AI

Job Description

Position Overview

The U.S. program runs from May through August for 12 weeks 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.

The Autodesk Fusion 360 Machine Learning team is looking for a driven and naturally curious machine learning research engineer who can hit the ground running in fast paced, complex environment. We are a small, agile research team that are intensely curious and passionate about the impact of artificial intelligence on the product design and manufacturing industry. You will join us to develop AI technologies for our next generation of design and manufacturing platform. Past projects include similarity search for 3D geometries, part classification, and expediting simulation results using Graph Networks, GANs and 3D Deep Learning.

We work closely with the researchers in Autodesk Research especially the Autodesk AI Lab, whom utilize cutting edge machine learning techniques to build future technologies to help our customers design, simulate and physically create the world around us. You will work at our SF Pier 9 Technology Center, where you will be surrounded by innovative researchers, engineers, designers and makers and see first-hand of the challenges that need to be solved.

Responsibilities

• Research and recommend best approach to solve a given research problem
• Conduct scientific research to design, implement, and evaluate novel ML algorithms
• Collaborate with other engineers and researchers in developing ML algorithms
• Analyze the errors of the model and design strategies to overcome them
• Develop working prototypes to showcase and validate your solution
• Document and communicate your findings through quantitative data analysis and qualitative visuals
• Present progress to stakeholders

Minimum Qualifications

• Full-time student pursuing a BS, MS, or PhD in Computer Science, Mathematics, Engineering, or equivalent
• Proficient in Python and familiar with TensorFlow or PyTorch (or another standard deep learning framework)
• Demonstrated experience with one or more of the following areas: 3D deep learning, computer vision, generative models, graphs, pattern recognition, computer graphics fields.
• Comfortable communicating data and results, both verbally and visually
• Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills

Preferred Qualifications

• Publication record in top ML conferences
• Familiarity with various statistical machine learning and deep learning techniques
• Knowledge of the design and manufacturing industry
• Experience with Autodesk or competitive products (CAD, CAE, CAM, etc.)

Job Requisition ID # 21WD48623