Do what you love. Love what you do.
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.
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: 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 a senior machine learning engineer, you will help develop
tailored experiences for every user powered by personalization and
predictive analysis. You will work closely with other ML engineers
and software developers to deliver ML solutions that enable
personalized user experience across Workdays product ecosystem. 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 software
Lead exploration, design and execution of machine learning
models and frameworks that deliver value to our users.
Lead the performance and ongoing enhancements of your
Work across teams to deliver your products through Workday end
Be given autonomy and ownership over your work and will be
expected to mentor & guide other engineers from time to time.
Have extraordinary opportunities for career growth and learning
in a fast-growing, forward-looking company.
5+ yrs experience as part of a data science, machine learning,
or other software development team
Proven ability to use statistical analysis and machine learning
algorithms, especially for supervised and unsupervised methods to
solve business/customer problems.
Advanced proficiency in Python and supporting numeric
Experience in machine learning frameworks & toolkits such as
Tensorflow, Pytorch, Sklearn
Strong experience building applied machine learning products,
including taking a product through design, implementation, and to
Experience in delivering products with large-scale, complex data
sets, data modeling, and productizing machine learning
Resilience to obstacles, and ability to solve problems by
collaborating with teams across the organization
B.S. in a relevant field - (E.g. Computer Science, Mathematics,
Engineering). M.S. or Ph.D are nice, but not required.