INTERNSHIP DETAILS

Data Science/Applications Engineering Intern - Summer 2026 - 2027

CompanyTomra
LocationMaungakiekie-Tāmaki
Work ModeOn Site
PostedAugust 6, 2026
Internship Information
Core Responsibilities
The intern will develop and improve MLOps pipeline components and internal defect detection tools using Python. They will also process and annotate large-scale sensor and image data while collaborating with multidisciplinary teams on AI-driven product development.
Internship Type
intern
Company Size
908
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We design and manufacture sensor-based sorting machines and integrated post-harvest solutions for the food industry, using the world’s most advanced grading, sorting, peeling, and analytical technology. Over 8,000 units are installed at food growers, packers, and processors around the world for fruits, nuts, vegetables, potato products, grains and seeds, dried fruit, meat and seafood. Our mission is to enable its customers to improve returns, gain operational efficiencies, and ensure a safe food supply via smart and easy-to-use technologies. To achieve this, we operate centers of excellence, regional offices, and manufacturing locations within the United States, Europe, South America, Asia, Africa and Australasia. TOMRA Food is a member of the TOMRA Group that was founded on innovation in 1972 that began with design, manufacturing and sale of reverse vending machines (RVMs) for automated collection of used beverage containers. TOMRA has ~100,000 installations in over 80 markets worldwide and had total revenues of ~9,3 billion NOK in 2019. The Group employs ~4,500 globally and is publicly listed on the Oslo Stock Exchange (OSE: TOM). For further information about TOMRA, please see www.tomra.com
About the Role

Company Description

TOMRA Food is a multinational organization and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximize food safety and minimize food loss by making sure Every Resource Counts™, has been our strength for over 50 years.​ 

We seek individuals who live our core values of innovation, responsibility, and passion. At TOMRA, we boost innovation, encouraging our team members to take calculated risks that can lead to groundbreaking solutions, challenging the status quo. We value passion in our workforce; it's the driving force behind customer commitment and a relentless pursuit of success. 

We believe in fostering a responsible, inclusive, and safe mindset among our employees, one that prioritizes our customers, products, and each other. We encourage every team member to take responsibility for their actions and decisions, contributing to a culture of accountability and trust. 

Join the resource revolution! 

Job Description

Gain real-world internship experience with a highly successful designer and manufacturer of computer-controlled fruit & vegetable sorting technology exported globally.

We are looking for passionate and driven 2 Engineering Interns studying Data Science, AI, Mechatronics, Software Engineering, or related engineering discipline to join our Research & Development teams to enhance and extend our existing MLOps platform, helping improve the way machine learning models are developed. 

You'll have the opportunity to work alongside experienced data scientists, software engineers, and computer vision engineers to help improve how data is analyzed and how machine learning models and computer vision solutions are developed, deployed, and monitored in production, contributing to the detection of fruit defects and the advancement of cutting-edge AI technologies.

Here's a sneak peek into what you could be doing:

  • Developing and improving components of our MLOps pipeline and internal defect detection and labeling tools
  • Using Python and other tools to automate workflows, process data, and support machine learning development
  • Processing, analyzing, and accurately annotating large-scale sensor, image, and machine data
  • Working with machine vision systems for object detection, classification, and quality assessment
  • Working with multispectral imaging and advanced sensing technologies
  • Collaborating with multidisciplinary teams across software engineering, AI, data science, and engineering

This internship offers an excellent opportunity to gain hands-on experience with machine vision, industrial sensing technologies, machine learning, and AI-driven automation while contributing to real-world product development projects. We're looking for curious and analytical problem solvers who are passionate about building solutions that combine software, machine learning, and hardware systems.

Deadline to submit an application is Sunday, August 16th, 2026!

Qualifications

You could be a great fit if you are currently studying Computer Science, Data Science, Software Engineering, Mechatronics, Robotics, AI, or a related discipline and have an interest in machine learning, computer vision, data analysis, and developing real-world solutions that combine software, AI, and hardware systems.

To apply, you'll need to:

  • Be available to participate in our full-time, 10-week internship programme running between November 2026 and February 2027
  • Be able to work onsite five days per week from our R&D facility in Auckland, NZ
  • Submit your application by 16 August 2026
  • Attach your academic transcript with your application
  • Be prepared to provide two academic or professional references if shortlisted

We welcome applications from students in all years of study. Preference may be given to students in their penultimate year of study.

Additional Information

If you don't meet every single requirement, we encourage you to apply. At TOMRA, we recognize that diverse perspectives drive innovation and success. You may be just the right candidate for this or other roles. All applications will be managed in the strictest confidence.  

TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, colour, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.

  • Compensation: up to NZD 29.90 - hourly
  • Key Skills
    PythonMachine LearningComputer VisionData AnalysisMLOpsSoftware EngineeringMechatronicsRoboticsArtificial IntelligenceObject DetectionMultispectral ImagingSensor Data ProcessingImage AnnotationWorkflow AutomationHardware Systems
    Categories
    TechnologyEngineeringData & AnalyticsSoftwareFood & Beverage