Machine Learning Engineer
Machine Learning Engineer
Posted on :
24-08-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
24-08-2025
Job Description
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. Were democratizing the world of sports by granting video analysis for teams on all levelsa privilege that used to be only for the few. More than 40000 clubs in 90 countries record their games every week.
Growing as fast as we do in Veo means that every day is different exciting and challenging both on the front line and in the back office.
But thats not the most remarkable thing about us.
The coolest thing is our people. Weve attracted some of the brightest minds in the industry. They are the reason we can create a great product and do it while enjoying ourselves.
As a 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 15 researchers and engineers 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 be free to determine the directions of the project you work on while also getting feedback and being encouraged to spar with the rest of the team to assist each other in improving and succeeding.
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 yet another ambitious high-performing junior to senior engineer/researcher with proven experience from real-world machine learning projects to the team. Experience with computer vision is advantageous but not a must.
What you will do:
- 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
- Contribute to long-term planning and prioritization of tasks
What you will need:
- MSc or PhD in a relevant field
- Hands-on experience with real-world large-scale machine-learning projects
- Great coding skills
- Skilled at both autonomous tasks and contributing to group efforts
- Ability to examine details closely and critically
At Veo youll be part of a thriving work environment where every day brings new excitement. Our rapid growth ensures a diverse and ever-changing atmosphere. We believe in work-life balance and providing a positive culture that allows you to thrive personally and professionally.
Our Copenhagen office mirrors our innovative technology with an indoor ball court rooftop terrace and well-equipped gym. We have created a facility that supports connecting disciplines across the business facilitates creative thinking and gives the space to engage with colleagues our global partners and the entire Veo community.
Diversity and differences are valuable assets for us. We value diversity and inclusion and welcome people from all backgrounds. If youre excited about this role but your experience doesnt align perfectly with every qualification in the job description we still encourage you to apply.
Values We Hold at Veo:
Dare - We take initiative stay curious and challenge the status quo in our work.
Own it - We drive impact by identifying opportunities taking responsibility and confidently executing.
Level up - We embrace growth continuously learning and shaping our skills.
Play as a team - We collaborate across a diverse organization leveraging shared insights for stronger outcomes.
Customer Centric - We deliver value by having close partnerships and a deep understanding of our customers (internally and externally)
Were committed to building a diverse inclusive and authentic workplace. And you may be just the right candidate for this or other roles.
Employment Type
Full-Time
Key Skills
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