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

About the Role

As a Machine Learning Engineer, you play a key role in the continued success of our products and experiences. You will partner with product managers, designers, architects and engineers to build ML/AI capabilities within Prism platform.

About You

• You love working on sophisticated technical projects

• You are an authority with modern ML/AI technologies

• You are able to own the end to end ML/AI workflow from data prep, model training, ML Ops, etc.

• You are a phenomenal teammate who enjoys collaborating with others to build rich end-to-end experiences

• You are performance-minded with a strong understanding of backend and service development standard methodologies

• You are passionate about code quality and like to share development standard processes

• You love learning and want to grow in your engineering career.

• We're open to hiring a Senior- or Principal-level engineer for this team:

Basic Qualifications Principal, Machine Learning Engineer

• 10+ years of ML engineering experience
• 5+ years of experience as a Data Scientist or equivalent role
• 5+ years of experience designing and maintaining ML systems with clean architecture.

Basic Qualifications Senior Machine Learning Engineer

• 7+ years of experience as an ML engineer

• 2+ years experience as Data Scientist or equivalent role

• 2+ years leading technical & functional discussions

Other Qualifications

• Master’s degree or above in Computer Science, Statistics, Mathematics or related field
• Experience working with multi-functional teams & leading substantial ML/AI features with a strong focus on non-functional requirements (accuracy, scalability, performance, monitoring, maintenance, security, etc.)
• Validated understanding of Statistics, Machine Learning, Deep Learning and LLM technologies
• Extensive knowledge and experience in building and evaluating ML models
• Superb interpersonal skills with ability to articulate sophisticated technical ideas
• Experience with common frameworks such as numpy, pandas, sklearn, tensorflow, pytorch, langchain etc.

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.

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!