Data Engineering Intern: Build ML Models on AWS & Spark

Qorvo, Inc.; Salem (OR); On-site; USD 43,000 - 58,000; Part time

Benefits offered by this job

Mentoring

Launch & Learn

Networking events

Job summary

Qorvo, Inc. invites motivated students to join its Data Engineering Internship in Salem, OR. You will work on real projects, gaining mentoring and exposure to upper management while pursuing full-time opportunities as available.

Responsibilities include analyzing large datasets, building ML models, and engineering features using Python, Spark, and AWS. You will present findings and partner with engineers to move prototypes toward production.

Qualifications

• Pursuing BS, MS, or PhD in a relevant field.
• Minimum GPA 3.0.
• Proficiency in Python with data science libraries (pandas, scikit-learn, NumPy).
• Coursework or hands-on experience in statistics, ML, or experimental design.
• Familiarity with SQL and Git; Spark or cloud exposure is a plus.

Responsibilities

• Analyze large, complex datasets to surface trends and insights.
• Build, train, and validate ML models for forecasting and classification.
• Engineer features from structured and unstructured data using Python and Spark on AWS.
• Design experiments and apply statistics to assess model performance.
• Communicate findings via visualizations and presentations to technical and non-technical audiences.
• Collaborate with engineers and analysts to move models toward production.

Skills

Python

SQL

Git

Spark

Statistics

Python libraries

Education

BS/MS/PhD in Data Science/CS/Statistics/Applied Math

Tools

AWS

Job description

Qorvo, Inc. invites motivated students to join its Data Engineering Internship in Salem, OR. You will work on real projects, gaining mentoring and exposure to upper management while pursuing full-time opportunities as available.

Responsibilities include analyzing large datasets, building ML models, and engineering features using Python, Spark, and AWS. You will present findings and partner with engineers to move prototypes toward production.