Software Engineer, Data Science

2 weeks ago

Toronto, Ontario, Canada Autodesk Full time
Job Overview

The Autodesk Research team is seeking a talented Software Engineer to join our team of world-class researchers and engineers. As a Software Engineer at Autodesk Research, you will be working on building new ML-powered product features that will help our customers imagine, design, and make a better world. You will be responsible for developing and deploying highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning. You will also be working with our legal and trust teams to ensure compliant and ethical use of data. If you are passionate about solving problems and building things, and have experience building scalable data pipelines to aggregate, prepare, and process data for use with machine learning, we encourage you to apply.

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.)

The Ideal Candidate
  • A self-starter with initiative to search for solutions and execute on problems with minimal supervision
  • Comfortable building prototypes from scratch as well as writing maintainable code within existing codebases
  • A curious, creative problem-solver who is excited to learn & develop new technologies
  • A fast learner & excellent communicator who can effectively collaborate across global locations
  • Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
  • Takes a great satisfaction in building scalable and maintainable systems that will be relied on by others

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