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Machine Learning Engineer Intern

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Qualtrics

Jan 17

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Seattle

AI generated summary

  • You need a Bachelor’s in Computer Science or related field, interest in ML/deep learning, strong CS fundamentals, programming experience in Python/Go/Java, and solid ML knowledge.
  • You will collaborate with team members, engage in design reviews and requirements discussions, attend daily stand-ups, prioritize features, and prototype solutions to complex problems.

Requirements

  • Bachelor’s degree in Computer Science or related fields.
  • Interest in modern machine learning / deep learning systems
  • Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
  • Experience in programming with at least one modern programming language such as Python, Go, Java
  • Strong ML and deep learning fundamentals

Responsibilities

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

FAQs

What is the primary focus of the Machine Learning Engineer Intern role at Qualtrics?

The primary focus of the Machine Learning Engineer Intern role is to gain hands-on experience in optimizing and deploying machine learning models while collaborating with experienced professionals in a dynamic, innovative environment.

What qualifications are required for this internship?

Applicants should have a Bachelor's degree in Computer Science or related fields, an interest in modern machine learning/deep learning systems, strong computer science fundamentals, programming experience in at least one modern programming language (such as Python, Go, or Java), and a solid understanding of ML and deep learning fundamentals.

What opportunities for growth can I expect in this internship?

Interns can expect to find growth opportunities by collaborating with peers, receiving feedback from team members and leads, and participating in design reviews and technical discussions that foster individual and collective development.

What technologies or skills will interns work with?

Interns will work with machine learning models, microservices for inferences, and potentially various programming languages, particularly Python, as well as technologies related to ML and deep learning.

How often will interns need to be in the office?

Interns will need to gather in the office three days a week, specifically on Mondays and Thursdays, plus one additional day selected by their organizational leader, as part of the hybrid work model.

Are there any mentorship opportunities available during the internship?

Yes, the QMentorship Program matches interns with mentors at Qualtrics, providing meaningful coaching and guidance from someone outside their immediate team.

What perks and benefits does Qualtrics offer for this internship?

Qualtrics offers perks such as unlimited sick days, participation in various QGroup Communities for support and advocacy, and access to mentorship through the QMentorship Program.

Is this internship intended for individuals with prior experience in machine learning?

While prior experience is beneficial, the internship is also designed for individuals who are passionate about machine learning and eager to learn, making it suitable for those at different levels of experience.

What can interns expect in terms of teamwork and collaboration?

Interns can expect to work closely with peers, participate in daily stand-up meetings, prioritize features collaboratively, and actively engage in discussions that contribute to team goals and customer value delivery.

Does Qualtrics promote diversity and inclusion in its hiring process?

Yes, Qualtrics is committed to being an equal opportunity employer, ensuring that all qualified applicants receive consideration for employment without regard to various protected characteristics.

Technology
Industry
5001-10,000
Employees
2002
Founded Year

Mission & Purpose

How do you turn a customer into a fanatic? An employee into an ambassador? A product into an obsession? A brand into a religion? With experiences. The write-home, tell-everyone-you-know kind of experiences. Qualtrics Experience Management (XM) is the only software platform that helps brands continually assess the quality of their four core experiences—customers, employees, products, and brands. With Qualtrics XM, organizations can be at every meaningful touchpoint, for every experience, and predict which changes will resonate most with stakeholders. At Qualtrics, our mission is to close the experience gap.