Summer - Machine Learning Engineering Intern
Company: Workiva, Inc.
Location: Scottsdale
Posted on: January 26, 2023
Job Description:
When can you expect to hear back?We like to attend all career
fairs and recruitment events before closing our positions. That
means, this position may be open without response for a couple of
weeks to give us time to wrap up the recruitment season. Please see
our tentative timeline below so you know when to expect to hear
back from us!
- All postings close: February 19th, 2023
- Resume reviews: Mid-late February
- Interviews: Early-mid March
- Offers: Throughout month of March2023 Start Dates:This position
has opportunities to start in the Summer. Please see our start
dates below.
- Summer Internships: Monday, May 15, 2023
- 40/hours per week maxSponsorship requirements:Must be
authorized to work in the United States and not require sponsorship
now or in the future.SummaryThe Machine Learning Engineering Intern
acts as part of a collaborative team within the Data Management and
Analytics organization. The team's primary role is to support the
development, deployment, and monitoring of machine learning models
developed by Workiva's data scientists. Responsibilities
- Participates in discovery, requirements gathering, and
prototyping of new tools and libraries
- Implements tooling and features to support machine learning
model development and deployment under the direction of a full-time
Machine Learning Engineer
- Participates in code reviews
- Implements and updates tests (unit, integration)
- Tracks tasks and completes status updates using internal
tools
- Works in an Agile development methodology alongside their
teammatesWhat You'll NeedEducation
- Currently pursuing a bachelor's degree or higher in statistics,
math, computer science, physics, electrical engineering, or
equivalent certifications (required)Required Skills/Experience
- Solid programming skills
- Ability to work within a geographically distributed team
- Strong communication and organizational skills
- Basic experience with source control systems such as
GitPreferred Skills/Experience
- Familiarity with the data science lifecycle and basic machine
learning concepts
- Experience with containerization tools such as Docker and
Kubernetes
- Knowledge of cloud platforms such as AWS
- Proficiency with Python and/or Go
- Familiarity with REST APIsWorking Conditions & Physical
Requirements
- Reliable internet access for any period of time working
remotely, not in a Workiva officeHow You'll Be Rewarded:
- Salary range in the US:$40.00 - $40.00 Hourly
- 401(k) participation and match
- Paid sick leave
- A unique opportunity to further your learning experience
through additional internship seasonsWhere You'll WorkOur values
drive how we work and who we hire. You will see these values
ingrained in how we support our customers, work with team members,
build our products and in the work environment we've created.
- Customer Success: Always delight our customers.
- Trust:Rely on each other.
- Integrity: Do the right thing, every time.
- Collaboration:Share resources and work together.
- Innovation:Keep creating solutions and finding better
ways.
- Inclusion:Support a diverse community where we all belong.
- Accountability:Be responsible for your success and failure.We
believe our people are our greatest asset, and our unique culture
gives employees the opportunity to make an impact everyday. We give
our employees the freedom and resources they need-backed by our
culture of collaboration and diverse thought-to continue innovating
and breaking new ground. We hire talented people with a wide range
of skills and experiences who are eager to tackle some of today's
most challenging problems.At Workiva, You'll Enjoy:
- Intern Environment:Workiva was ranked a top 100 internship
program by WayUp and ranked #20 in Best Places to Work for a
reason! Our interns have the opportunity to participate in
mentoring, professional development, networking, and flexible hours
during their internship. We continually strive to provide numerous
resources to build not just excellent interns, but excellent
business professionals.
- Real Work Experience:Workiva interns are treated as full-time
employees and are allowed the freedom to contribute to real work
that truly impacts Workiva and it's operations. From writing code
in our production environment to directly supporting our customers'
on our newest platform, our interns play a vital role in our
company!
- Fantastic Perks:Being an intern at Workiva has benefits beyond
just a paycheck. You can't beat the wellness discounts, 401k
participation and match, casual dress environment, paid sick leave
and countless other perks that Workiva offers!
- Involvement: Ability to participate in Business Employee
Resource Groups (Black, Hispanic, Asian, Women, Rainbow (LGBTQIA+),
Veterans, Disabilities), Volunteering, Company wide celebrations,
and more
- Opportunity at Workiva:At Workiva, we offer more than just a
12-15 week spring or summer program. 80% of our interns extend
longer than just 1 semester with us to continue work on their
projects. As long as you are enrolled in a degree seeking program,
you could have the opportunity to be an intern at Workiva until you
graduate!Learn more about life at
Workiva:[*https://www.linkedin.com/company/workiva/*]Workiva is an
Equal Employment Opportunity and Affirmative Action Employer. We
believe that great minds think differently. We value diversity of
backgrounds, beliefs, and interests, and we recognize diversity as
an important source of intellectual thought, varied perspective,
and innovation. Employment decisions are made without regard to
age, race, creed, color, religion, sex, national origin, ancestry,
disability status, veteran status, sexual orientation, gender
identity or expression genetic information, marital status,
citizenship status or any other protected characteristic.Workiva is
committed to working with and providing reasonable accommodations
to applicants with disabilities. To request assistance with the
application process, please
emailtalentacquisition@workiva.com.Workiva supports employees in
working where they work best - either from an office or remotely
from any location within their country of employment.
Keywords: Workiva, Inc., Scottsdale , Summer - Machine Learning Engineering Intern, Engineering , Scottsdale, Arizona
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