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Hybrid Machine Learning Engineer Intern Machine Learning Engineer Intern with verification

Viasat  ·  nan, United States Of America · Hybrid

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About the job

About Us

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

What You'll Do

As an intern in the Machine Learning Engineering internship program for Viasat, you will work alongside a diverse team of engineers dedicated to developing innovative, vertically integrated products and services for the future. Your primary focus will be developing tools to improve productivity and MLOps-related activities. You will collaborate with our expert machine learning engineers and data scientists to improve the efficiency of our AI workflows and develop high-quality full stack AI solutions that will have an enormous impact on multiple business areas, contributing to Viasat's success. We foster a learning culture that values inquiry, exploration, teamwork, and taking the initiative. Learning agility and adaptability are also highly regarded.

The day-to-day

You will work with various project teams dedicated to:

  • Developing and maintaining the APIs serving our machine learning models
  • Designing and building processes to deploy production models and monitor their quality and performance over time
  • Collaborate closely with cross-functional engineering teams including data scientists, cloud engineers, data engineers, and software engineers


Internship Program Details:

  • You will work onsite at a Viasat office location for the duration of your 12 week internship. Viasat embraces a flexible work environment and onsite/hybrid work is determined by individual roles and teams.
  • Housing and relocation assistance are available to interns pending eligibility.
  • To ensure equity across our intern population, intern compensation is pre-determined based on a variety of factors including: role, location, and final graduation date. Intern compensation is non-negotiable.


What You'll Need

Education Requirements:

  • Currently pursuing a Bachelor's degree or higher in Data Science, Applied Math, Computer Science, Computer Engineering, Computer Science & Engineering and/or a related field
  • To be eligible for this position your final graduation date must fall between December 2025 and June 2026


Internship Dates:

  • You must be available for the full duration of the 12-week internship program. Note limited exceptions may be granted. Viasat offers two options based on semester and quarter academic calendars:
    • Cohort 1: May 20th, 2025 - August 15th, 2025
    • Cohort 2: June 17th, 2025 - September 12th, 2025


Additional Requirements:

  • Experience with Machine Learning, Web API development in Python (e.g., Flask, FastAPI)
  • Experience developing in cloud computing environments such as AWS, GCP etc.
  • Exposure or project experience building end to end ML systems in cloud platforms such as AWS Sagemaker.
  • US Citizenship required


What Will Help You On The Job

  • Experience using Python
  • Passion for automation and building systems of systems
  • Previous Viasat internship experience


Salary range

$21 - $66 / hourly

At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat’s comprehensive benefit offerings that are focused on your holistic health and wellness at careers.viasat.com/LifeAtViasat/Benefits.

EEO statement

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.
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