Chief Machine Learning Engineer

Your work days are brighter here.

At Workday, it all started with a conversation over breakfast. When our founders met in a sunny California diner, they brainstormed an idea to redefine the enterprise software market. Our distinctiveness has always been our culture, which is driven by the value of prioritizing our people. From then on, the satisfaction, progression, and contribution of every Workmate have been at the heart of who we are. Our Workmates believe that a prosperous employee-centric, collaborative culture is the crucial blend of factors for business success. That's why we look after our people, communities, and the planet while maintaining profitability. Feel inspired to shine, in whichever way it takes shape: you don't need to suppress who you are. You can sense the energy and the passion; it's what sets us apart. Want to make workdays brighter for everyone and evolve alongside us in our expansion journey? Bring your brightest self and enjoy brighter workdays here.

About the Team

We're focusing on integrating machine learning into Workday's products by creating data products and automated machine learning models that can be applied to hundreds of use cases within Workday. As part of a global, rapidly growing tech company, our work benefits thousands of the world's largest companies and more than 60 million end-users. You will face challenging problems and have the opportunity to influence machine learning and app development across Workday. Our team has a passion for teaching and learning, so be ready to share your knowledge and grow with us. Join us as we alter the way millions of people work.

About the Role

We're developing a new user behavior metrics pipeline, a new recommendation engine, as well as updating Workday's search capabilities through semantic retrieval. All of these features are intended to be utilized across various applications within Workday. We're seeking a Machine Learning Engineer to lead the development process of these systems, ensure they're ready for production, and facilitate their expansion and scalability. You will be involved in the design, implementation, and upkeep of a system that can upscale to our biggest search use-cases and expand across hundreds of small business processes without any strain.

Main Responsibilities:

• Share best-practices from within and outside the organization and influence work process and technology choices within the team

• Create data science plans, finalize modeling and conduct data science experiments

• Oversee the design and execution of the complete machine learning workflow in production, including preprocessing, feature engineering, training, validation, and serving.

• Look after the performance, scalability, and continuous improvement of your products.

• Give and receive feedback on PR that helps you and your colleagues improve their methods and learn from each other

• Independently recognize machine learning opportunities and propose solutions to leadership

• Manage design documents for new machine learning components and enhancements to existing components

• Build relationships with software engineers, DevOps engineers, and product managers across our organization

About You

Besides contributing to feature and service development, you need to have a mindset of continuous improvement, and a passion for quality, scalability, and security. You should be curious and ready to question or challenge decisions and practices whenever they seem illogical or could be improved upon. As well, you should demonstrate a product-oriented mindset and strong intuition for how machine learning can enhance customer experience. Most importantly, a strong sense of ownership and teamwork are crucial for success in this role.

​Basic Qualifications for Principal:

• Bachelor’s (Master's preferred) degree in engineering, computer science, physics, math, or equivalent

• Demonstrated experience in teaching, mentoring, and leading through influence

• 7 years or more of experience delivering applied machine learning products, including taking a product through design, implementation, and to production

• 5 years or more of experience with Python (including NumPy, SciPy, Pandas), JVM, and Linux

Basic Qualifications for Sr. Principal:

• Bachelor’s (Master's preferred) degree in engineering, computer science, physics, math, or equivalent

• Documented experience in teaching, mentoring, and leading through influence

• 10 years or more of experience delivering applied machine learning products, including taking a product through design, implementation, and to production

• 9 years or more of experience with Python (including NumPy, SciPy, Pandas), JVM, and Linux

Other Qualifications

• A resilient attitude towards obstacles and an ability to independently solve problems

• Advanced knowledge of various modeling techniques including classical and deep learning

#LI-CG4

Workday Pay Transparency Statement

The annual base ranges for the primary location and any additional locations are listed below. Workday pay ranges vary according to the work location. As part of the total compensation package, this role may be qualified 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 various factors, including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For further information about Workday’s comprehensive benefits, please .

Primary Location: USA.CO.Boulder

Primary Location Base Pay Range: $177,600 USD - $266,400 USD

Additional CAN Location(s) Base Pay Range: $173,300 - $259,900 CAD

Our Approach to Flexible Work

With Flex Work, we're blending the best of both worlds: in-person time and remote. Our approach enables our teams to deepen relationships, maintain a strong community, and do their best work. We understand that flexibility can take many forms, so instead of setting a number of required in-office days 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 the role). This means you'll have the freedom to devise a flexible schedule that caters to your business, team, and personal needs, while making the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for significant occasions.

In accordance with 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!