INTERNSHIP DETAILS

Machine Vision & Data Science Intern

CompanyPacific Seafood
LocationUnited States
Work ModeOn Site
PostedJanuary 20, 2026
Internship Information
Core Responsibilities
The intern will apply data-analysis and machine-learning methods to support machine-vision initiatives and work with digital imaging technologies. They will also collaborate with third-party vendors and assist with real-world machine-vision applications.
Internship Type
intern
Company Size
1435
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Founded in 1941 by the Dulcich Family, Pacific Seafood is a family-owned and operated company dedicated to providing the healthiest protein on the planet. Pacific Seafood manages all parts of the supply chain from harvesting/fishing to processing, and distribution in order to provide customers with fresh, sustainable, high-quality products. Pacific Seafood Group is headquartered in Clackamas, Oregon. We employ more than 3,000 team members across 41 facilities in 11 states. One of our missions is to provide products to meet all of our customers’ center of the plate protein needs including seafood, beef, pork, and poultry. Some of our most popular items include oysters, Dungeness crab, rockfish, coldwater shrimp, wild salmon, and steelhead.
About the Role
Pacific Seafood offers a unique, 13-week internship program that gives interns the chance to make an immediate impact on our company. Starting with a structured orientation week at our corporate headquarters near Portland, OR, where you’ll be able to meet the team and learn the full scope of our business. Throughout the summer months, you’ll dive deep into a meaningful project for our company, which you’ll then present to our executive leadership team at the end of your internship. For graduating seniors looking to kickstart your career, there are plenty of opportunities to stay full-time at the conclusion of your internship! Start your professional career with us, where we can invest in your development as a business professional, and build valuable leadership, work ethic, and team-work capabilities!

At Pacific Seafood, we do more than just provide the world with the healthiest proteins on the planet. We are an excellence-driven organization committed to being the brand of choice in the marketplace and the employer of choice in the community. We believe in servant leadership, investing in our team members, and rewarding performance. We live by the core values of our Diamond Philosophy: Quality, Teamwork, Productivity, and Excellence—which means consistently doing your best and always striving to do better.

Summary:
Pacific Seafood is seeking a highly motivated Machine Vision & Data Science Intern to support the development and integration of advanced imaging, sensing, and data-processing technologies within our production facilities. This role involves working hands-on with hardware, analyzing large datasets, collaborating with third‑party vendors, and applying machine learning and machine vision techniques to solve real-world quality, safety, and operational challenges. The ideal candidate is passionate about data science, automation, and practical implementation of imaging technologies in industrial environments.

Key Responsibilities:
  • Apply data‑analysis and machine‑learning methods (e.g., PCA, PLSR, SVM, SIMCA) to support machine‑vision initiatives.
  • Work with digital imaging technologies (RGB and spectral), including sensor calibration and noise reduction.
  • Integrate data outputs into reporting systems and help ensure reliable collection, processing, and feedback.
  • Collaborate with third‑party technology vendors to adapt solutions for facility use‑cases.
  • Assist with real‑world machine‑vision applications, such as:
    • Detecting foreign materials
    • Monitoring product quality (color, damage, water content)
    • Sorting by species or grade
  • Identify opportunities for machine‑vision deployment and support testing to demonstrate value.
  • Perform other duties as assigned.
What You Bring to Pacific Seafood:

Required:
  • Actively pursuing an undergraduate or graduate degree, with a graduation date no later than June of 2026, in:
    • Statistics (data analysis, data structures)
    • Robotics or Mechatronics (sensor integration, automation)
    • Related fields such as Data Science, Computer Engineering, or Electrical Engineering
  • Understanding of data-processing concepts and analytical workflows.
  • Experience handling and analyzing large datasets.
  • Familiarity with integrating data into reporting or monitoring systems.
  • Knowledge of digital image processing, including spectral vs. RGB imaging concepts
  • Strong verbal and written communication skills.
  • Ability to work independently and manage a project from concept to execution.
  • Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook).
  • Cumulative GPA of 3.0 or higher on a 4.0 scale.
  • Strong organizational and time management abilities.
Preferred:
  • Experience with sensor calibration and noise-reduction methods.
  • Hands-on experience working with imaging or sensing hardware.
  • Strong problem-solving mindset and willingness to explore emerging technologies.
  • Strong communication and presentation skills.
Total Compensation:
At Pacific Seafood, your base wage is only a portion of your overall compensation package. We invest in our Team Members through a comprehensive and attractive total rewards package, including but not limited to:
  • Paid Sick Time
  • Employee assistance program providing confidential professional counseling, financial and legal assistance at no charge to team members and immediate family members
  • Product purchase program

Pacific Seafood is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Key Skills
Data AnalysisMachine LearningDigital ImagingSensor CalibrationNoise ReductionData ProcessingReporting SystemsCollaborationProblem SolvingCommunicationProject ManagementTime ManagementOrganizational SkillsAutomationImaging TechnologiesQuality Monitoring
Categories
TechnologyData & AnalyticsEngineeringManufacturingFood & Beverage
Benefits
Paid Sick TimeEmployee Assistance ProgramProduct Purchase Program