Research Engineer, Data Science
2 weeks ago
The Research Engineer, Data Science role at Autodesk is a unique opportunity to work with world-class researchers and engineers to build new ML-powered product features that help our customers imagine, design, and make a better world.
You will be responsible for owning and leading engineering projects in the area of data acquisition, ingestion, and curation. This includes organizing and curating large, unstructured, disparate multi-modal data sources into a unified format suitable for machine learning.
As a Research Engineer, you will develop and deploy highly scalable distributed systems to process, filter, and deploy datasets for use with machine learning. You will also conduct and analyze experiments on data to provide insights and produce data visualizations and summaries to communicate data characteristics to researchers and leadership.
Additionally, you will work with our legal and trust teams to ensure compliant and ethical use of data and develop and deploy data pipelines into secure remote environments respecting and demonstrating security best practices.
Requirements include a BSc or MSc in Computer Science or equivalent industry experience, 3+ years of experience with data modeling, architecture, and processing skills with varied data representations including 2D and 3D geometry, and experience with software version control, unit tests, and deployment pipelines.
Preferred qualifications include experience with computational geometry, CAD model search and retrieval, and open-source pre-trained language and vision/language models.
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world.
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive.
Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic.
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