Location: of this role is hybrid with flexible work locations. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.   

Responsibilities  

• Collaborate on engineering projects for product with a diverse, global team of researchers and engineers.  

• Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning.  

• Process large, unstructured, 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 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.  

Minimum Qualifications  

• BSc or MSc in Computer Science, or equivalent industry experience.  

• 3+ years of experience with software version control, unit tests, and deployment pipelines.  

• You have experience in data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry.  

• You have experience with: 

• Cloud services & architectures (AWS, Azure, etc.).  

• Documenting code, architectures, and experiments.  

• Relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).  

• Frameworks such as Ray data, Metaflow, Hadoop, Spark, or Hive.  

• Vector data stores.  

• Proficiency with Linux systems and bash terminals.  

• Knowledge of cloud architectures and networking  

Additional 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.  

• You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others.  

• You have knowledge of the design, manufacturing, AEC, or media & entertainment industries.  

• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.).