Data Engineer, Machine Learning

4 weeks ago

Toronto, Ontario, Canada Autodesk Full time

Job Overview

As a Data Engineer, Machine Learning at Autodesk Research, you will collaborate with world-class researchers and engineers to build scalable data pipelines that aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You will work at the intersection of research and product, developing scalable distributed systems to process, filter, and deploy datasets for use with machine learning.

Responsibilities

  • Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning.
  • Process large, unstructured, multi-modal data sources into formats suitable for machine learning.
  • Conduct and analyze experiments on data to provide insights.
  • Produce data visualizations and summaries to communicate data characteristics to researchers and leadership.
  • Work with our legal and trust teams to ensure compliant and ethical use of data.
  • Develop data pipelines into secure remote environments respecting and demonstrating security best practices.
  • Write testable code that is well documented and easy to understand.
  • Analyze errors and provide solutions to problems that arise.

Requirements

  • BSc or MSc in Computer Science, or equivalent industry experience.
  • 3+ years of experience with software version control, unit tests, and deployment pipelines.
  • Experience in data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry.
  • Proficiency with Linux systems and bash terminals.
  • Knowledge of cloud architectures and networking.

About Autodesk

Welcome to Autodesk. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

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