Software Engineer, Machine Learning - Higher Education Development

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. A culture driven by our value of putting our people first is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is essential 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. 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 TeamWorkday, founded in 2005, stands as a groundbreaking force in the human capital and financial management industry, with a global presence and a diverse array of customers. Joining our team means embarking on a journey of opportunity to drive innovation, advance your career, and contribute to impactful solutions that shape industries. Our Product Development and QA organization spans across various products, serving a wide range of customers worldwide. Every project you undertake contributes to Workday's outstanding culture and dedication to excellence.About the RoleWorkday Student is part of Workday's suite of cloud-based enterprise solutions. The team’s core mission is to improve the work day for Higher Education administrators and faculty through greater technical capability, while empowering students on their educational journeys. We are looking for creative, delivery-focused, and skilled machine learning and software engineers to help on a range of these challenges.As a Machine Learning Software Engineer, you will have the opportunity to tackle significant problems, developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis. Your primary focus will be to:Own exploration, design, and execution of machine learning models.Build tools, technologies, and platforms for productizing Machine Learning models in business-critical Enterprise software.Analyze complex data requirements and design data models that meet organizational needs.Work closely with product managers and machine learning engineers to take services from inception to production.Find creative solutions that move projects forward.Analyze, design, program, debug, and modify software improvements.Take initiative, exhibit creative thinking, and have the determination to turn data into real-life insights.Mentor and guide other engineers.Work in an Agile environment focused on collaboration and teamwork.Apply data integration, validation, and transformation techniques to ensure data quality and consistency.Design and develop data pipelines to process and transform raw data efficiently from various sources.About YouBasic Qualifications5+ years of experience with OO design and development in an object-oriented language such as Java, Python, C#, C++, etc.5+ years of experience with production software development lifecycle methodologies.4+ years of experience with applied Machine Learning.Bachelor's degree in a computer-related field or equivalent work experience.Other QualificationsStrong foundation in data engineering concepts, including data modeling, database design, ETL processes, and data warehousing.Proficiency in Python, SQL, and PySpark, with a focus on applying these to data engineering tasks.Proficiency with technologies like SnowFlake and Databricks.Familiarity with code repository and project tools such as GitHub, JIRA, and Confluence.Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Sagemaker.Strong communication ability to liaise with various partners, including data scientists, business analysts, and executives, to understand requirements and translate them into technical solutions.Workday Pay Transparency StatementThe 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. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need.Primary Location: USA.GA.Atlanta Primary Location Base Pay Range: $144,000 USD - $216,000 USD Additional US Location(s) Base Pay Range: $136,800 USD - $240,000 USDOur Approach to Flexible WorkWith 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).Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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