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.
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
We're building ML powered Search and Generative AI services and platforms to modernize how users interact with Workday - adding ease, intelligence and efficiency to everyday interactions. All these capabilities are designed to be applied across a wide range of applications within Workday.
As a Machine Learning Engineering Intern, you will help develop tailored experiences for every user powered by advanced Large Language Models (LLMs) and predictive analysis. You will work closely with other ML engineers and software developers to deliver ML solutions that enable ML powered search and user experience across Workday’s product ecosystem. You will apply current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised, deep learning and classical. You will develop new APIs/microservices and deploy them using Docker/Kubernetes at scale. You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our customers make decisions and run their business.
We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of users. Sound like your kind of challenge?
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!
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.
Additional US Location(s) Base Pay Range: $43/hr - $74/hr
About You
Basic Qualifications
- Currently enrolled in a bachelor’s, master’s, or PhD degree with an anticipated graduation date no earlier than December 2025
- You can commit to a full-time in-person internship program for 12-weeks during the summer of 2025 and will return to university studies after the conclusion of the internship
- You are pursuing a major in Engineering, Computer Science, Physics, Math or equivalent.
- Have experience in Machine Learning, Python, algorithms, natural language processing, AWS, SQL, ElasticSearch/Open Search, Kubernetes, Docker and/or Spark
- Prior internship, coursework, or relevant project experience
Other Qualifications
- Relevant PhD and/or machine learning related research publications
- Experience with data engineering and data wrangling using e.g. Pandas and PySpark
- Familiarity with LLMs such as Llama, different GPT models, and their applications in real-world scenarios.
Posting End Date: 11/17/2025
The application deadline for this role is the same as the posting end date stated.
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.
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.
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.
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!
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