Professional Summary

Professional Overview

Austin Jacobson is an accomplished AI Research Scientist with a proven track record of driving innovation and groundbreaking research in the field of artificial intelligence. He currently holds dual roles, serving as an AI Research Scientist at Databricks and a Research Scientist at MosaicML, where he leverages his expertise in machine learning, deep learning, and natural language processing to develop cutting-edge AI solutions.

Experience Summary

Current Roles

AI Research Scientist, Databricks (2023-07-01 to Present)

Spearheads the development of advanced AI models and algorithms to enhance the performance and capabilities of Databricks' cloud-based data analytics platform

Collaborates with cross-functional teams to identify and address complex AI-related challenges, translating research into practical applications

Publishes research papers and participates in industry conferences, contributing to the advancement of the AI field

Research Scientist, MosaicML (2021-11-01 to Present)

Conducts groundbreaking research in the areas of efficient and scalable deep learning models

Develops novel AI architectures and training techniques to improve the speed, accuracy, and energy efficiency of AI systems

Publishes research papers in prestigious journals and conferences, sharing insights and best practices with the broader AI community

Career Progression

Senior Machine Learning Engineer, Zesty.ai (2018-05-01 to 2020-12-01)

Developed and deployed cutting-edge machine learning models for Zesty.ai's geospatial analytics platform, resulting in significant improvements in accuracy and performance

Collaborated with cross-functional teams to identify and address complex AI-related challenges, driving the company's technological advancements

Data Science Consultant, Self-Employed (2016-07-01 to 2018-12-01)

Provided expert data science consulting services to a diverse range of clients, offering strategic insights and solutions to complex business problems

Helped clients leverage data and AI to drive business growth and operational efficiency

Data Scientist, Jooseware AI research (2016-11-01 to 2017-07-01)

Conducted in-depth research in natural language processing and machine learning, contributing to the development of innovative AI solutions

Collaborated with researchers and scientists to push the boundaries of AI capabilities

Data Scientist, Quottly, Inc (2015-11-01 to 2016-03-01)

Developed and deployed machine learning models to enhance the company's online education platform, improving user engagement and learning outcomes

Academic Background

Ph.D. in Computer Science, with a focus on Artificial Intelligence, from Stanford University (2015)

Master of Science in Computer Science, Stanford University (2013)

Bachelor of Science in Computer Engineering, University of California, Berkeley (2011)

Areas of Expertise

Machine learning and deep learning

Natural language processing

Efficient and scalable AI architectures

Geospatial data analysis

Innovative algorithm design

Translating research into practical applications

Professional Impact

Published numerous research papers in prestigious journals and conferences, contributing to the advancement of the AI field

Developed and deployed highly accurate and efficient AI models that have been widely adopted across various industries

Recognized as a thought leader in the AI community, frequently invited to speak at industry events and conferences

Conclusion

With his exceptional technical expertise, innovative mindset, and demonstrated track record of success, Austin Jacobson is poised to continue driving transformative AI research and solutions that will shape the future of technology. His unwavering commitment to pushing the boundaries of AI capabilities, combined with his collaborative approach and industry-leading contributions, make him a valuable asset in the ever-evolving landscape of artificial intelligence.