Machine Learning Research Engineer, 3D

OverviewThe work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research and product. You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.

Responsibilities

Own and lead engineering projects in the areas of data acquisition, ingestion, curation and benchmarking

Organise and curate large, unstructured, disparate multi-modal (text, images, 3D models, code) data sources into a unified format suitable for machine learning

Develop and deploy highly scalable data pipelines for machine learning

Conduct and analyze experiments on data to provide insights to other researchers and leadership

Work with our legal and trust teams to ensure compliant and ethical use of data

Qualifications

MSc or PhD in Computer Science, Engineering, or a related technical discipline

Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark)

Experience working with large multimodal machine learning datasets

Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry

Excellent communication skills to document code, produce visualizations, and present findings from experiments

Proficiency with Linux, cloud, version control, testing and deployment pipelines

Preferred Qualifications

Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions

Experience with collecting human data for training and evaluating ML models

Strong publication record related to ML, datasets and benchmarks; experience with computational geometry, CAD data, and 3D formats such as meshes, boundary representations (BReps), or implicit representations

Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows

Motivated by the opportunity to apply machine learning to real-world challenges in design, manufacturing, construction, and media and entertainment

We welcome applicants from diverse backgrounds. 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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity and BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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