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 TeamHave you ever wondered what really makes people productive? Or what might cause someone to choose to leave their job?We're using one of the largest employee engagement datasets in the world to solve mysteries like these. The insights we deliver help our customers run their businesses better, and ensure their employees are more satisfied, motivated and engaged.The Peakon team at Workday is driven by the belief that we can radically change the world of work. We believe that when an organisation listens to employee feedback and empowers every employee to drive the change they want to see, it can create more fulfilling jobs and grow in ways never before imagined.We welcome your application even if you do not meet all of the criteria listed below, but are passionate about the opportunity of mastering this role. We know that skills are not static and growth is continuous, so we are happy to help you take your career to the next level together and are committed to your development at Workday.About the RoleAs our Machine Learning Engineer, you’ll work with the Data Science team. You will be responsible for delivering applied machine learning products, including taking a product through design, implementation, and to production using our vast amounts of data. You’ll also be an active member of the Science team, working alongside other Data Scientists and Psychologists to improve processes and further develop the Science codebase.About YouThe perfect candidate will have a background in a technical field, experience working with large text data sets, and cross functional teams to deliver on import initiatives, and have a track record of delivering high-quality ML solutions on time.Basic Qualifications3+ years of experience delivering applied machine learning products, including taking a product through design, implementation, and to production3+ years of developing Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, pytorch)Excellent hands-on cloud Experience especially with AWS.Other QualificationsExperience building Extract Transform Load (ETL) pipelines.Experience in designing experiments, A/B testing and data analysis in the domain of quality metrics for machine learning servicesExperience in analyzing the ML algorithms that could be used to solve a given problems and ranking them by their success probabilityB.A./B.S (Masters preferred) in Computer Science, Statistics, Mathematics, or similarAre you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!