Machine Learning Engineer Intern

US - CA - Carlsbad, US - Remote Ref #12757 01-Aug-2022

Job Description

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.


Job Responsibilities

Flexibility to work among different 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 datascientists, cloud engineers, data engineers, and software engineers

Requirements

  • Pursuing a degree in Data Science, Applied Math, Computer Science, Computer Engineering, Computer Science & Engineering and/or a related field
  • Experience using Python
  • Passion for automation and building systems of systems
  • Able to commit to a 10-12 week summer internship

Preferences

  • Experience with Machine Learning (ML)
  • Experience with 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
  • Previous internship experience


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Additional Requirements and Information

Minimum Education
High School Diploma or GED
Years of Experience
0-2 years
Travel
None
Citizenship
US Citizenship required
Worker Classification
Intern

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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.

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