Manager/Sr. Manager, Machine Learning Engineering

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

Machine Learning for Financials and Document Intelligence is responsible for the architecture and development of the machine learning technologies underpinning one of Workday's fastest-growing lines of business. Our work is a blend of large-scale data processing, battle-hardened machine learning methodology, and microservice design that places craftsmanship at the forefront of everything we do. We are responsible for our Document Intelligence platform as well as building intelligence into the heart of the Workday Financials product suite.

About the Role

We are looking for a hands-on technical and people leader who contributes to software design and ML methodology as well as production code. You will work with external customers, product management and senior technical leaders to:

• Deliver on the product roadmap

• Own the day-to-day agile activities of the team.

• Mentor team members for career growth and personal development.

• Attract, hire and maintain a team of skilled engineers.

• Be a strong advocate for development process, engineering best-practices, product quality and a culture of improvement.

About You

Basic Qualifications for Manager:

• 3+ years of Engineering Leadership delivering products at scale

• Demonstrable experience with Machine Learning frameworks and algorithms

• Proven track-record of leading ML-enabled products from conception to deliver

• Bachelor's Degree in Computer Science or equivalent

Additional Qualifications for Sr. Manager

• 5+ years of Engineering Leadership delivering products at scale

• Demonstrable experience with Machine Learning frameworks and algorithms

• Proven track-record of leading ML-enabled products from conception to deliver

• Bachelor's Degree in Computer Science or equivalent

Other Qualifications:

• Excellent communication and facilitation skills

• Track-record leading a multi-functional and geographically distributed team

• Ability to thrive in a fast-paced environment

• Experience with cloud technologies and modern cloud-native architectures

• Experience presenting complex technical ideas to both technical and non-technical audiences

• A Master's Degree

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.WA.Seattle

Primary Location Base Pay Range: $184,800 USD - $277,200 USD

Additional CAN Location(s) Base Pay Range: $151,600 - $227,400 CAD

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