Davis - Davis, CA
posted 2 months ago
The Machine Learning Engineer position at UC Davis involves working under the general supervision of the Associate Director of DevOps, alongside the Machine Learning Architect and Senior Developers. This role is integral to an agile team focused on developing, training, deploying, and maintaining moderately complex machine learning models. The engineer will be responsible for researching the latest machine learning technologies and processes, making recommendations for their application in new projects. Collaboration with a team of data scientists is essential, as the engineer will assist in developing and training new models and handling complex data modeling tasks. Additionally, the role includes integrating these models into existing production services, conducting performance and integration testing, and monitoring the models to ensure they function correctly. The position requires a proactive approach to problem-solving and the ability to work both independently and as part of a team. Strong communication skills are necessary to interact effectively with both technical and non-technical stakeholders. The role is critical in supporting the development of an intelligent platform that provides over 40 solutions for Risk Management and Environmental Health and Safety (EH&S) across various UC campuses and medical centers. The successful candidate will contribute to innovative technology solutions that address the challenges faced by one of the world's leading research institutions.