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Student Machine Learning Engineer

VeoCopenhagen
On-site Part-time

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Experience Level

Entry Level

Qualifications

Strong academic record in a relevant field. Hands-on experience with multiple machine learning projects. Proficient coding skills in languages relevant to machine learning. Genuine passion and enthusiasm for machine learning and AI.

About the job

Veo is at the forefront of AI-driven sports camera technology, revolutionizing the way sports teams capture matches and training sessions. Our cutting-edge, fully automated camera solution empowers teams to record their activities without needing a camera operator. We are committed to democratizing sports video analysis, making it accessible for teams at all levels—something that was once reserved for a select few. Every week, over 40,000 clubs in more than 90 countries leverage our technology to enhance their performance.

What distinguishes us? Our people. We foster a diverse culture of innovative thinkers, creators, and problem-solvers dedicated to delivering exceptional products while enjoying the journey.

The Opportunity

As a Student Machine Learning Engineer at Veo, you'll tackle exciting challenges and make tangible contributions to our AI-powered end-user products. You will join our AI team, consisting of 12 researchers and engineers, who oversee all phases of the machine learning lifecycle across various projects—from defining data annotation tasks to modeling, validation, and deployment. You will receive guidance and support from experienced teammates to help you succeed.

We remain engaged with the latest research and consistently discuss new concepts and ideas from recent publications to evaluate their relevance to our tasks and product-specific challenges.

We seek a motivated, high-achieving student worker with a strong academic background, hands-on experience with various machine learning projects, proficient coding skills, and a genuine passion for the field.

About Veo

Veo is a pioneering company specializing in AI-driven sports camera technology, dedicated to transforming the landscape of sports video analysis. Our innovative solutions empower teams worldwide, enhancing their training and performance through easy access to insightful video data.

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