Machine Learning Engineer Intern
USA, CA, Pleasanton · Data / ML
USA, CA, Pleasanton·Internship·On-site
About this opportunity
As a Machine Learning Engineer Intern, you’ll help develop Workday’s intelligent core by contributing to the scalable AI and ML platforms that power personalized experiences for millions of users. Working alongside experienced engineers and researchers, you’ll help design, implement, and deploy machine learning models and large language model applications that support innovative data products. Most of your time will be spent writing production-quality code, running experiments, and working with large datasets to improve model and system performance. This is an opportunity to apply your software engineering and machine learning knowledge...
From the employer’s requirements
- Currently enrolled in a Bachelor’s or Master's degree program in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related degree program
- With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the...
Before you apply
- Review the complete requirements and closing date on the employer’s application page.
- Timley does not have compensation data for this listing. Check the employer application for current terms.
- Timley does not collect your résumé or application data.