Workday

Machine Learning Engineer (BB-B7A9D)

Found in: Neuvoo CA

Description:
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. Job Description Who we are Workday is the cloud-based SaaS company providing industry-leading software for HR, financials, workforce planning and employee learning to more than 40% of the Fortune 500. We are the Machine Learning Product team at Workday. Our focus is on the application of machine learning and statistical analysis to Workday’s products to serve our end users. We leverage diverse datasets to build data-driven products, which help the world’s largest organizations uncover insights and make strategic decisions about their people, finances, and business. We routinely work on data with high velocity, volume and variety and we employ a modern machine learning distributed computing and big data software stack to deal with these challenges. At Workday we truly care about our people, that’s why we rank as the top 5 best places to work. To learn more about Workday ML, check out this video: https://bit.ly/34efgyg About the role This is an opportunity to be part of a growth team focused on building predictive capabilities into our products, and part of the next generation of Workday technology. We believe predictive products can be as transformative to the next generation of technology as mobile was to the last. As an engineer, you will help broaden and deepen Workday’s ML platform to support our data scientists and Machine Learning Engineers. You will work closely with these stakeholders to deliver mission critical infrastructure and software frameworks. You will utilize modern software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised, deep learning and classical. You will develop new APIs/microservices and deploy them using docker/kubernetes at scale. You will use Workday’s vast computing resources on rich, exclusive datasets to deliver value that transforms the way our customers make decisions and run their business. We will challenge you to apply your best creative thinking, analysis, problem-solving, and technical abilities to make an impact on thousands of enterprises and millions of people. Sound like your kind of challenge? In this role, you would: Be a member of a team of ML Engineers and Data Scientists (4, and growing). Own design and execution of machine learning models and frameworks that deliver value to our users. Own the performance and ongoing enhancements of your products. Work across teams to deliver your products through Workday end user applications. Be given autonomy and ownership over your work, but with the support of the entire organization. Have extraordinary opportunities for career growth and learning in a fast-growing, forward-looking company. About you 2+ yrs experience as part of a data science, machine learning, or other software development team. Strong experience building applied machine learning products, including taking a product through design, implementation, and to production. Execution of products handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms. Resilience to obstacles, and ability to solve problems independently Good practical understanding of statistical analysis and machine learning algorithms, especially for supervised and unsupervised methods. Proficiency in Python including (NumPy, SciPy, Pandas) and Java. B.S. in a relevant field - (E.g. Computer Science, Mathematics, Engineering, Physics). M.S. or Ph.D are nice, but not required. You are excited about Machine Learning, Python, Java and/or Scala, Hybrid Cloud, Enterprise Systems

calendar_today4 days ago

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location_on Toronto, Canada

work Workday

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