Research Engineer, Data Full Time NEW

Summary:

• The work at Autodesk influences and empowers some of the most creative people in the world to solve problems that matter, by creating software tools for buildings, machines, and movies.
• As a Research Engineer at Autodesk Research, you will work alongside world-class researchers and engineers to build new ML-powered product features.
• You will combine data modalities such as text, images, and 3D models, and work on CAD data processing, analysis, indexing, retrieval, and experimentation at multiple scales.
• You will collaborate with AI researchers to create datasets that power generative AI features in Autodesk products.
• You will be comfortable working at the intersection of research and product.
• The role is flexible, with locations 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:

• Own and lead engineering projects in the area of data acquisition, ingestion, and curation.
• Organize and curate large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into a unified format suitable for machine learning.
• Develop and deploy highly scalable distributed systems to process, filter, and deploy datasets for use with 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 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.
• Write robust, testable code that is well-documented and easy to understand.

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.
• Excellent written communication skills to document code, data analysis, and findings from experiments.
• Experience with cloud services & architectures (AWS, Azure, etc.).
• 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, and Hive.
• Experience with vector data stores.
• Experience with implementing ML models.
• Experience working with large data lakes and data streams.
• Proficiency with Linux systems and bash terminals.

Benefits:

• Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location.
• In addition to base salaries, Autodesk offers a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.