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 TeamWorkforce ML team charter is to “Enable the Future of Work with AI and ML”. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. You will be part of a global, high-growth product team to develop the next generation of smart applications used by over 60 million users, representing about ~450 billion transactions a year. You will solve complex business and user interaction problems by leveraging ML. We operate and function like a startup with a high degree of autonomy and strong sense of total ownership.About the RoleYou must have a strong product mindset and opinions around how ML can drive a better customer experience. You will play a key role in building and deploying data-driven ML solutions that drive smarter products. You will effectively engage with data scientists, ML engineers, PMs and architects in requirements elaboration and drive technical solutions. You must have a mindset of continuous improvement, passion for quality, scale, and security.About YouWhat you will do:Work with PMs to propose algorithm design, plan and execute algorithm fine-tuning and outline and execute validation strategyIndependently identify ML opportunities and propose solutions to leadershipDevelop, train, and test ML models to use to solve business problemsWork with engineering teams to implement/refine models while considering functionality for recommendation output;Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models Undertake statistical analysis of the results produced and refine the model where requiredReview and choose the best and most appropriate annotated datasets for the best-supervised learning methodsUse effective text representations to transform natural language into useful featuresFind and implement the right algorithms and tools for NLP tasksExtend ML libraries and frameworks to apply in NLP tasksBasic Qualifications:4+ years of experience delivering applied machine learning products, including taking a product through design, implementation, and to production4+ years of developing Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, pytorchOther Qualifications:Experience 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. in Computer Science, Statistics, Mathematics, or similarAs a federal contractor, Workday is requiring all new hires to verify that they are fully-vaccinated against COVID-19 within 72 hours of beginning employment with Workday, consistent with applicable law. Workday is an equal opportunity employer. Candidates who are not vaccinated due to a sincerely held religious belief, medical reasons, or other legally-protected reason should contact accommodations@workday.com to explore what, if any, reasonable accommodations or exemptions Workday is able to offer.Workday Pay Transparency StatementThe base pay range for the primary location of this job is 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. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, future potential and internal pay parity. For more information regarding Workday’s comprehensive benefits, please click here.Primary Location: USA.CA.PleasantonBase Pay Min to Max Range: $177,800 - $266,500Pursuant to applicable Fair Chance law, 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.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
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