Machine Learning Engineer

Job description

Do what you love. Love what you do.

At Workday, we help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we’re serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.
About the Team
We're working on making machine learning core to Workday's products by building data products and auto-ml models that can be scaled out to hundreds of use cases within Workday. As part of a global, high-growth technology company, our work supports thousands of the largest global companies and more than 30 million end users. You will solve complex problems and influence machine learning and application development across Workday. Our team is passionate about teaching and learning, so be eager to share your expertise and learn from us. Join us as we change the way millions of people work.
About the Role
We're developing a new user behavior metrics pipeline and a new recommender engine, both designed to be applied across a wide range of applications within Workday. We are looking for a Machine Learning Engineer to lead the development of these systems, make them production-ready, and support their growth and scale. In this role you will contribute to design, implementation and maintenance of a system that can scale up to our largest search use-cases and scale out across hundreds of small business processes, all without breaking a sweat.
About You
In addition to contributing to feature and service development, you must have a mindset of continuous improvement, passion for quality, scale, and security. You must be curious and prepared to question or challenge choices and practices where they don't make sense to you or could be improved. You also should have a product mindset and strong intuition around how ML can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are key to succeed in this role.

Key Responsibilities:
  • Execute on modeling and data science experiments
  • Own the design and implementation of the entire machine learning workflow in production including: preprocessing, feature engineering, training, validation and serving.
  • Own the performance, scale and ongoing enhancements of your products.
  • Provide and receive PR feedback that helps you and your colleagues improve their practice and learn from each other.
  • Contribute to design documents for new ML components and enhancements to existing components
  • Develop relationships with software engineers, DevOps engineers, and product managers across our organization

Basic Qualifications:
  • Bachelor’s degree in engineering, computer science, physics, math or equivalent
  • Resilience to obstacles, and ability to solve problems independently
  • Ability to teach and learn from your teammates
  • Experience delivering applied machine learning products, including taking a product through design, implementation, and to production
  • Familiarity with Python (including NumPy, SciPy, Pandas), JVM, and Linux
  • Familiarity with a variety of modeling techniques including classical and deep learning
As a federal contractor, Workday is requiring all new hires to verify that they are fully-vaccinated against COVID-19 within 72 hours of beginning employment with Workday, consistent with applicable law. Workday is an equal opportunity employer. Candidates who are not vaccinated due to a sincerely held religious belief, medical reasons, or other legally-protected reason should contact
to explore what, if any, reasonable accommodations or exemptions Workday is able to offer.
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.
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