Principal Machine Learning Engineer

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

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 60 million end users. You will tackle sophisticated 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, a new recommender engine as well as modernizing workday’s search capabilities through semantic retrieval. All of these capabilities are 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. 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.

Key Responsibilities:

• Bring best-practices from within and outside the organization, and influence workflow and technology choices across the team

• Define data science roadmaps, complete modeling and data science experimentation

• Be responsible for the design and implementation of the entire machine learning workflow in production including: preprocessing, feature engineering, training, validation and serving. 

• Be responsible for 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

• Independently identify ML opportunities and propose solutions to leadership

• Own design documents for new ML components and enhancements to existing components

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

About You

In addition to contributing to feature and service development, you must have a mentality 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 mentality and strong intuition around how ML can drive a better customer experience. Lastly, a strong sense of ownership and teamwork are crucial to succeed in this role. 

 

​Basic Qualifications for Principal:

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

• Proven experience teaching, mentoring and leading through influence

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

• 5 or more years 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

• Proven experience teaching, mentoring and leading through influence

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

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