Position Overview

Autodesk and Autodesk Construction Cloud makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you’ve experienced what millions of Autodesk customers are doing with our software.

The Autodesk Construction Cloud Intelligence Team is looking for a driven and naturally curious data science intern who can hit the ground running in a fast paced, complex environment. You will work with the team to develop and deliver new cutting-edge computer vision and natural language processing solutions that serve as the foundation of current and future Autodesk Construction Cloud products. Past projects include, for example, construction photo understanding and/or building documents information extraction and matching

You will… (Responsibilities):

• Use data science, computer vision, and natural language processing to improve product development, customer success, content understanding across our construction cloud product.

• R&D to solve construction project using computer vision & natural language processing

• Collaborate with other data scientists and engineers developing and deploying ML algorithms

• Document and communicate your findings through quantitative data analysis

• Present progress to stakeholders

Who you are… (Requirements):

• Full-time student pursuing a BS, MS, or PhD in Computer Science, or equivalent

• Proficient in Python

• Proficient in TensorFlow or PyTorch (or another standard deep learning framework)

• Proficient in deep learning, computer vision, and/or natural language processing

• Experience in AWS environment

• Experience completing multiple data science projects end-to-end; from idea generation, goals formulation, to implementation and deliverables

• Comfortable communicating data and results, both verbally and visually

• Bonus: Experience with top-tier publications in machine learning domains (e.g., CVPR, ICCV, PAMI, ICML, JMLR, ACL, EMNLP, etc.)