Intern, Machine Learning Engineering at Autodesk | Torre
Intern, Machine Learning Engineering
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Autodesk

Intern, Machine Learning Engineering

Autodesk
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Internship
Ongoing

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

location_on
San Francisco, CA, USA
Posted over 2 years ago

Responsibilities

- Amazing things are created every day with Autodesk's software, from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. - Autodesk's culture code is at the core of everything they do, helping their people thrive and realize their potential. - Autodesk is committed to building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. We are looking for a ML Engineering Intern to join our team and contribute to a large generative AI model development project. This internship offers an opportunity to gain hands-on experience in machine learning engineering and improve the project's success. The intern will collaborate with the Fusion Machine Learning team to identify areas of improvement in the training pipeline, model architecture, and evaluation processes. They will research and implement state-of-the-art techniques to improve the training and evaluation of generative AI models, conduct experiments, analyze results, and document the methods used, findings, and improvements achieved throughout the internship. The intern will also present the progress and outcomes of the project to the team, showcasing the methods used and the achieved improvements. The specific project within Autodesk’s generative AI efforts will be confirmed closer to the internship start date. The intern will have the chance to work on one or more functional ML models and contribute to their optimization. Responsibilities: - Collaborate with the Fusion Machine Learning team to identify areas of improvement in the training pipeline, model architecture, and evaluation processes. - Research and implement state-of-the-art techniques to improve the training and evaluation of generative AI models. - Conduct experiments and analyze results to measure the impact of the implemented improvements. - Document the methods used, findings, and improvements achieved throughout the internship. - Present the progress and outcomes of the project to the team, showcasing the methods used and the achieved improvements.
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