Veo6mo ago

Student Worker - Machine Learning Engineer

Copenhagen,CopenhagenHourlymid

Data ScienceOtherMachine Learning EngineerData

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Quick Summary

Overview

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator.

Technical Tools

pythonpytorchmachine-learning

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week.

But what truly sets us apart? Our people. We’re a diverse group of innovative thinkers, creators, and problem-solvers who believe in delivering an incredible product—and having fun while doing it.

The Opportunity

As a Student Machine Learning Engineer at Veo you will get to work on challenging problems and directly contribute to the value created by our AI-driven end-user products.

You will become part of our AI team, which comprises 12 researchers and engineers that are responsible for all stages in the machine learning lifecycles across different projects - from scoping and defining data annotation tasks to modeling, validation, and deployment. You will work on well-defined tasks that align with the team’s goals, getting guidance and sparring from experienced teammates to the extent you need.

We stay current with the latest research and continuously discuss concepts and ideas in recent papers to assess their relevance to our tasks and product-specific challenges.

We are looking to add an ambitious, high-performing student worker with a strong academic record, experience with multiple machine learning projects, good coding skills, and a passion for the field.

Train state-of-the-art machine learning models

Write efficient inference pipelines for cloud and edge

Define and supervise data annotation tasks

Improve evaluation schemes to increase understanding of model performance and shortcomings

BSc/MSc ongoing within a relevant field and with a strong academic record

Ability to work onsite from the Copenhagen office 1 or 2 days per week

Hands-on experience with multiple machine-learning projects in Python and PyTorch

Good coding skills

Ability to work both independently and as part of a team

Location & Eligibility

Where is the job

Copenhagen

On-site at the office

Who can apply

Same as job location

Listed under

Worldwide

Listing Details

Posted: November 6, 2025
First seen: March 26, 2026
Last seen: May 11, 2026

Posting Health

Days active: 45
Repost count: 0
Trust Level: 31%
Scored at: May 10, 2026

Signal breakdown

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Apply for this position

Veo

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Veo Technologies provides innovative sports recording and analysis solutions, enabling coaches and athletes to enhance performance through accessible technology.

Employees

350

Founded

2015

Domain

Jobs

External application · ~5 min on Veo's site

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