Sr Software Engineer - Machine Learning

Company: Workday, Inc.
Location: Boulder, Colorado, United States
Type: Full-time
Posted: 26.JUL.2021


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 p...


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 TeamThe Workday Machine Learning for Financials team researches, builds and deploys, at scale, the engine that powers the heart of Workday's intelligent core, a platform for 37+ million users and growing. Our engineers work with modern technologies and help build real-life products that improve the lives of the world's finance professionals.We are motivated to be confronted with challenges to address problems reviewing, recommending, and reconciling financial transactions. Using engineering resourcefulness, we have been able to build and implement an outstanding tech stack, and we are always moving forward with it. We're looking for highly creative, results-oriented, and skilled machine learning and software engineers to help on a range of these challenges. You will realize that the sky is the limit to your growth-all while having fun!About the RoleAs a Sr Software Engineer-Machine Learning, you will have the opportunity to tackle sophisticated problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis. Your primary focus will be to:Takes responsibility for finding creative solutions that move projects forwardAnalyze, design, program, debug, and modify software improvementsTake initiative, exhibit creative thinking, have the determination to turn data into real-life insightsTackle problems related to performance, scalability, and resilienceDesign and develop a product in a development environment where decisions are based on dataWrite elegant code that exemplifies standard methodologies for automation, observability, testing, and service interaction using design patterns, object orientation, and machine learning frameworksWork together with team mates on code reviews, knowledge share, hackathons, etc.About YouBasic QualificationsVerifiable experience with an object-oriented language such as Java, Python, Scala, etc.Must be a strong teammate with great communication and interpersonal skillsProven experience with the development of software systems or use of machine learning algorithms in real-life productsMinimum 3 year experience with Agile methodologiesMinimum 4 years experience working with Product Managers and understanding business requirementsWrites modular, idiomatic, and stylistically consistent code that is easy to read and is well documented. Finds creative ways to reduce toil & proactively automate common tasksLeads a team in translating business use cases into concrete software problems, utilizing state-of-the-art technologies and consistently balances algorithmic elegance with engineering considerations such as scale and maintenance and overheadActive and influential contributor in the design of systems and services, accounting for stability, scalability, performance and observability as first-class considerationsProvides thoughtful, productive, and humble code review feedback that is seen by teammates as a significant improvementOther QualificationsComprehensive understanding of object-oriented programming and design patternsShown familiarity UML modeling and diagramsExperience with unit testing tools and integration tests toolsExperience with JSON, Avro, and other data structures and integration technologies.Experience designing and developing business applications (knowledge of Financials products a plus)Maintains a network of multi-functional relationships that represent a source of new information and ideas for the team.San Francisco Fair Chance OrdinancePursuant to the San Francisco Fair Chance Ordinance, 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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