Machine Learning Engineer Intern

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

The Workday Machine Learning team researches, builds, and deploys, at scale, the engine that powers the heart of Workday’s intelligent core, a platform for 37+ million users and growing. Our engineers work with innovative technologies and help build real-life products that improve the lives of the world's finance professionals.

We're working on making machine learning core to Workday's products by building data products and auto-ml models that can be scaled out to hundreds of use cases within Workday. You will solve complex problems and influence machine learning and application development across Workday. Our team is passionate about teaching and learning, so be eager to share your expertise and learn from us. Join us as we change the way millions of people work.

About the Role

As a Machine Learning Engineer Intern, you will play a key role in developing Workday’s intelligent core. You'll work on building the scalable machine learning platform and applications that power personalized experiences for millions of users.

This is a hands-on role where you will be challenged to apply your technical skills to solve real-world problems. You'll collaborate with experienced engineers and researchers to design, train, and deploy machine learning models, including large language models (LLMs), to deliver innovative data products.

In this internship, you will:

• Contribute to the entire ML lifecycle, from data processing to model deployment.

• Work with a variety of ML techniques, including deep learning, to deliver solutions that enable search and enhance user experience.

• Build and deploy new APIs and micro services using modern stacks like Docker and Kubernetes.

• Leverage Workday’s vast, exclusive datasets to deliver tangible value that helps our customers run their businesses more effectively.

Workday Internship Program

Ready for your career to shine? 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 bright ideas to join our Intern & Co-Op 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, you’ll be encouraged to bring your brightest self to work with coaching and mentorship, connection events and exposure to Workday’s stellar culture while living our Core Values. 

Let’s make work days brighter. Apply today to start your career as a member of the Workday Intern & Co-Op Program!

#LI-DNI

About You

Basic Qualifications

• Currently enrolled in a bachelor’s degree program in Computer Science, Engineering, Math, Physics, or a related degree program with a graduation date no earlier than December 2026.

• Available for a full-time in-person 12-week internship for the Summer of 2026 in Pleasanton, CA and you will return to your university program after the conclusion of the internship.

• Relevant experience (through coursework, projects, or prior internships) with machine learning, data structures and algorithms.

• Experience working with a programming language such as Python, Java, C++, R, JavaScript, etc.

• Experience with one or more of the following: Natural Language Processing (NLP), AWS, SQL, Elastic search, Kubernetes, or Docker.

Other Qualifications:

• Experience with data engineering and data wrangling using libraries such as Pandas and PySpark.

• Familiarity with large language models like Llama or GPT models and their applications.

• Prior research or publications related to machine learning.

Workday is proud of its diverse workforce but does not sponsor employment visas or consider individuals on time-limited visas that will require sponsorship now or in the future for these positions.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Additional US Location(s) Base Pay Range: $40,100 USD - $154,500 USD

Our Approach to Flexible Work
 

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 freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!