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 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 collaboration, open communication, 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
As a Machine Learning Manager, you will lead a high-performing team of software and machine learning engineers focused on architecting, building, and deploying robust, scalable, and performant AI systems within Workday's product ecosystem. You will be instrumental in guiding your team to transform ML solutions into production-ready systems, with a focus on building a platform for Workday developers and customers to build and deploy AI Agents, encompassing planning, reasoning, and action execution frameworks.
This role requires a unique blend of deep technical expertise in ML systems and a proven ability to lead, mentor, and develop engineering talent. You will foster an environment of technical excellence, collaboration, and continuous improvement, ensuring your team delivers high-quality, impactful solutions that align with organizational goals.
Your primary focus will be to:
About You
Basic Qualifications:
Other Qualifications:
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: CAN.ON.Toronto
Primary CAN Base Pay Range: $147,800 - $221,800 CAD
Additional CAN Location(s) Base Pay Range: $147,800 - $221,800 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 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!
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