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
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 cutting-edge projects that impact millions of users. We are a group of highly skilled individuals with diverse 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 skilled and experienced Principal Machine Learning Engineer to contribute to the development and deployment of advanced machine learning solutions. In this role, you will be a technical leader, driving key projects and providing expertise in the design and implementation of robust ML systems. You will work on complex problems, mentor engineers, and collaborate with cross-functional teams to deliver impactful AI-powered features.
Responsibilities:
- Design, develop, and deploy advanced machine learning models and algorithms.
- Contribute to the architectural design and implementation of scalable and robust ML systems.
- Analyze 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.
- 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.
- Design and implement model monitoring and retraining strategies.
- Investigate and resolve complex technical issues related to machine learning systems.
About You
You are a highly motivated and experienced machine learning engineer with a strong track record of delivering impactful AI solutions. You possess a deep understanding of machine learning principles and are passionate about applying them to solve complex problems. You are a collaborative team player, eager to share your knowledge and mentor junior engineers. You are comfortable working in a fast-paced environment and are adept at translating business requirements into technical solutions. You are a proactive problem-solver, constantly seeking to improve processes and optimize performance. You are a lifelong learner, staying abreast of the latest advancements in the field and eager to contribute to the growth and success of the team.
Required Qualifications:
Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
7+ years of professional experience in machine learning engineering.
4+ years experience in designing and implementing machine learning systems in production environments.
4+ years experience in Python, with expertise in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and others.
4+ years experience with cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.
Other Qualifications:
Strong understanding of machine learning algorithms, including deep learning, reinforcement learning, and natural language processing.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Experience with MLOps and CI/CD for machine learning.
Expertise in data processing and manipulation using tools like Spark or similar.
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.Boulder
The application deadline for this role is the same as the posting end date stated as below:
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!