Senior/Principal Machine Learning Engineer, Workday

• 7 or more years experience as part of a data science, machine learning, or other software development team
• Proven ability to use statistical analysis and machine learning algorithms, especially for supervised and unsupervised methods to solve business/customer problems
• 5 or more years of advanced proficiency in Python and supporting numeric libraries
• Experience in machine learning frameworks & toolkits such as Tensorflow, Pytorch, Sklearn
• Experience building applied machine learning products, including taking a product through design, implementation, and to production
• Experience in delivering products with large-scale, complex data sets, data modeling, and productizing machine learning algorithms
• B.S. in a relevant field - (E.g. Computer Science, Mathematics, Engineering). M.S. or Ph.D are nice, but not required

Desirable

• Bring best-practices from within and outside the organization, and influence workflow and technology choices across the team
• Own the technologies that drive product success, with a strong understand of scalability, trade-offs and limitations
• Define an architectural roadmap to continue to expand business impact of the team. Demonstrate consistency & reliability. Serve as a technical role model for more junior engineers
• Provide and receive PR feedback that helps you and your colleagues improve their practice and learn from each other
• Evaluate, decide on, and lead implementation of new technologies and ML services within Workday
• Contribute to design documents for new systems components and enhancements to existing components
• Develop relationships with software engineers, DevOps engineers, and product managers across our organization
• Respond to alerts and debug production issues as part of on-call rotation