Seattle, Washington, USA
5 days ago
Machine Learning Engineer Intern

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

\n

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

\n

 

\n

Machine Learning Engineer Intern

\n

 

\n

Why We Have This Role

\n

We are seeking a motivated and enthusiastic Machine Learning Engineer Intern to join our dynamic team. As an intern, you will gain hands-on experience optimizing and deploying machine learning models, working alongside experienced professionals in a collaborative, innovative environment. This internship is designed for individuals passionate about machine learning and artificial intelligence and eager to learn and grow in the field.

\n

 

\n

How You’ll Find Success

\n\nWork in a supportive environment enables individual growth and the achievement of team goals\nCollaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers\nBuild/deploy machine learning models. Develop scalable, robust, and highly available microservices to perform simple to complex inferences.\nImplement new features and optimize existing ones to delight our customers\n\n

 

\n

Things You’ll Do

\n\nWork closely with, and incorporate feedback from other team members, team leads, and product managers\nLead and engage in design reviews, architectural discussions, requirement definitions, and other technical activities in diverse capacity\nAttend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers\nFinding quick ways to prototype and test possible solutions to large problems\n\n

 

\n

What We’re Looking For On Your Resume

\n\nBachelor’s degree in Computer Science or related fields.\nInterest in modern machine learning / deep learning systems\nStrong Computer Science fundamentals in algorithm design, complexity analysis, and performance\nExperience in programming with at least one modern programming language such as Python, Go, Java\nStrong ML and deep learning fundamentals\n\n

 

\n

What You Should Know About This Team

\n\nThe Data Intelligence Center of Excellence (DICE) organization provides AI/ML research and development services for all product lines.\nThis team builds core machine learning infrastructure and services.\nWe partner with application teams to deliver ML algorithms and models that drive efficiency, innovation, and growth.\n\n

 

\n

Our Team’s Favorite Perks and Benefits

\n\nQMentorship Program matches you with a mentor inside Qualtrics to get meaningful coaching from someone outside your team.\nAmazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.\nUnlimited Sick Days\n\n

 

\n

The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.

\n

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

\n

​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act,Equal Opportunity Employment,Employee Polygraph Protection Act

\n

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

\n

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

\n

 

\n

 

For full-time positions, this pay range is for base per year; however, base pay offered may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.

Washington State Annual Pay Transparency Range$95,500—$125,000 USD
Confirm your E-mail: Send Email