Machine Learning Engineer - HiredScore

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

• Design, build, and improve ML-powered software products that deliver real value to users.
• Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.
• Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.
• Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.
• Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.
• Collaborate with product, engineering, and research partners while learning from a strong technical team.

Basic Qualifications:

• 4+ years of experience as a machine learning engineer, data scientist,  software engineer or in a related technical role.
• Strong Python skills, with experience building, shipping, and maintaining production-grade code.
• Solid software engineering fundamentals, including clean APIs, testing, CI/CD, observability, and maintainable codebases.
• Practical experience working with large-scale data, data modeling, and production systems that support data-driven products.
• Familiarity with machine learning, deep learning, and NLP concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow, or scikit-learn.

Other Qualifications:

• Bachelor’s degree in Computer Science or a related field; Master’s degree is a plus.
• Experience with GenAI and LLMs.

At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.