About the Role

We're developing a new user behavior metrics pipeline, a new recommender engine as well as modernizing Workday’s search capabilities through semantic retrieval. All of these capabilities are designed to be applied across a wide range of applications within Workday. We are looking for a Machine Learning Engineer Intern to assist with the development of these systems, make them production-ready, and support their growth and scale. In this role you will contribute to design, implementation and maintenance of a system that can scale up to our largest search use-cases and scale out across hundreds of small business processes.

Workday Internship Program

Your future starts today. At Workday, we believe that the next generation of talent is essential to our success, which is why we seek hard-working students with open minds, new perspectives, and outstanding ideas to join our Internship Program.

During the 12-week internship experience, you’ll make an impact at Workday by engaging in meaningful work, all the while forging professional connections, and strengthening your skills in an encouraging environment. Plus, did we mention one of Workday’s core values is fun?

The future is now. Apply today to launch your career as a member of the Workday Internship Program!

About You

In addition to contributing to feature and service development, you should have a mindset of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product mindset and strong intuition around how ML can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are key to succeed in this role.

Basic Qualifications

Currently enrolled in a Bachelor, Master’s, or PhD program with an anticipated graduation date no earlier than December 2023
Available for a 12-week full-time internship program summer of 2023
You will return to university studies after the conclusion of the internship
Currently pursuing a Major in Engineering, Computer Science, Physics, Math or equivalent
Prior internship, coursework, or relevant project experience