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Machine Learning Engineer

Company: Workday, Inc.
Location: vancouver
Posted on: May 3, 2021

Job Description:

At Workday, we help the worlds largest organizations adapt to whats next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and were 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 Workdays products to serve our end users. We leverage diverse datasets to build data-driven products, which help the worlds 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, thats why we rank as the top 5 best places to work. To learn more about Workday ML, check out this video:

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 Workdays 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 Workdays 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

At Workday, our employees have always been our number one Core Value. We understand that everyone has unique experiences and perspectives which is why our mission is to create a safe space where all people and ideas are welcomed. Our commitment to value inclusion, belonging, and equity (VIBE) and creating a brighter workday for all is the cornerstone of all we do. Join us!

Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, contact us at

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Keywords: Workday, Inc., Vancouver , Machine Learning Engineer, Other , vancouver, Washington

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