Software Engineer, Data

2 weeks ago

Toronto, Ontario, Canada Autodesk Full time
Job Overview

The role of Software Engineer at Autodesk Research involves collaborating with world-class researchers and engineers to build new ML-powered product features that will help our customers imagine, design, and make a better world. As a software engineer, you will be responsible for developing and deploying highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning. Your skills should span across data processing and distributed systems with a strong software engineering base. You will also be working with AI researchers to build state-of-the-art generative AI features in Autodesk products. Excellent communication skills and the ability to work at the intersection of research & product are essential for this role.

Responsibilities
  • Collaborate on engineering projects for product with a diverse, global team of researchers and engineers
  • Develop and deploy highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning
  • Process large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) 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 and deploy data pipelines into secure remote environments respecting and demonstrating security best practices
  • Writing robust, 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
  • Experience with software version control, unit tests, and deployment pipelines
  • Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry
  • Experience with cloud services & architectures (AWS, Azure, etc.)
  • Excellent written communication skills to document code, architectures, and experiments
  • Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Experience with frameworks such as Ray data, Metaflow, Hadoop, Spark, or Hive
  • Experience with vector data stores
  • Proficiency with Linux systems and bash terminals
  • Knowledge of cloud architectures and networking

Preferred Qualifications
  • Experience with computational geometry such as mesh or boundary representation data processing
  • Experience with CAD model search and retrieval, in PLM systems or other searchable CAD databases
  • Knowledge of statistics
  • Ability to analyze data and communicate results effectively using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

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