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.

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.

About the Team

Join a team of expert machine learning engineers at Workday, where we are at the forefront of applying AI to solve real-world business challenges. Our team is passionate about innovation and collaboration, working on innovative projects that impact millions of users. We are a group of highly skilled individuals with a diverse set of backgrounds and expertise, united by a shared commitment to building intelligent systems that empower organizations and individuals. We foster a culture of continuous learning and growth, providing opportunities to work with the latest technologies and contribute to groundbreaking research. We are dedicated to building robust, scalable, and responsible AI solutions that enhance the Workday experience. We value open communication, collaboration, and a spirit of intellectual curiosity, and we are looking for individuals who share our passion for pushing the boundaries of machine learning.

About the Role

We are seeking a highly experienced and visionary Senior Principal Machine Learning Engineer to lead the development and deployment of cutting-edge machine learning solutions. In this role, you will be a technical leader, driving innovation and setting the strategic direction for our ML initiatives. You will work on complex problems, mentor junior engineers, and collaborate with cross-functional teams to deliver impactful AI-powered products.
 

Responsibilities:

• Lead the research, design, development, and deployment of advanced machine learning models and algorithms.
• Drive the architectural design and implementation of scalable and robust ML systems.
• Conduct in-depth analysis of large datasets to identify patterns, trends, and actionable insights.
• Evaluate and select appropriate machine learning techniques and tools for specific business problems.
• Develop and maintain production-ready machine learning pipelines, ensuring high performance and reliability.
• Mentor and guide junior machine learning engineers, fostering a culture of technical excellence.
• Collaborate with product managers, data scientists, and software engineers to define project requirements and deliver solutions.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and apply them to relevant projects.
• Contribute to the development of best practices and standards for machine learning development.
• Present technical findings and recommendations to stakeholders at all levels.
• Design and implement model monitoring and retraining strategies.
• Lead the investigation and resolution of complex technical issues related to machine learning systems.

About You

You are a seasoned machine learning engineer with a passion for pushing the boundaries of AI. You thrive in a fast-paced, collaborative environment and are eager to tackle complex challenges. You possess a deep understanding of machine learning principles and a proven track record of building and deploying impactful solutions. You are an effective leader, eager to mentor and guide others, and you are driven by a desire to innovate and make a significant contribution to the field. You are not only a skilled engineer but also a strategic problem solver, able to translate business needs into technical solutions. You are a lifelong learner, always seeking to expand your knowledge and stay ahead of the curve in the rapidly evolving world of machine learning.

Required Qualifications:

• Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• 10+ years of professional experience in machine learning engineering.

• 6+ years experience in designing and implementing large-scale machine learning systems in production environments.

• 6+ years experience in Python, with expertise in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and others.

• 6+ years experience with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.

Preferred Qualifications:

• Deep understanding of machine learning algorithms, including deep learning, reinforcement learning, and natural language processing.

• Expertise in data processing and manipulation using tools like Spark or similar.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• Experience with MLOps and CI/CD for machine learning.

• Demonstrated ability to lead and mentor junior engineers.

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.CO.BoulderPrimary Location Base Pay Range: $238,400 USD - $357,600 USDAdditional US Location(s) Base Pay Range: $226,500 USD - $402,000 USDIf performed in Colorado, the pay range for this job is $238,400 - $357,600 USD based on min and max pay range for that role if performed in CO.

The application deadline for this role is the same as the posting end date stated as below:
 

04/23/2025

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!