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Veo is hiring a Senior Machine Learning Researcher

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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. 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.
 
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 that’s not the most remarkable thing about us.

The coolest thing is our people. We’ve 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.

Suppose you are enthusiastic about machine learning and sports. In that case, we offer an exciting opportunity to participate in an accelerating growth journey in a fantastic scale-up company with a revolutionary product. We’re an international company with a performance-driven culture. We believe that continuous development is the key to our future growth.

As a Machine Learning Researcher at Veo, you’ll be an integral part of developing the next generation of machine learning models to stretch the limits of what’s possible in terms of video analysis. You’ll get many chances to take initiative and develop projects, from ideas to deployed features.

We’re looking for a machine learning expert, preferably specializing in computer vision, edge inference, video activity recognition, object tracking, or a related field, with proven and practical experience with machine learning frameworks.

Requirements:
  • Has proven and practical experience with machine learning frameworks.
  • Has extensive experience with software development in multiple languages, including Python.
  • Stays up to date with research in the community.
  • Has an MSc in a relevant field, such as computer science, mathematics, or statistics.
  • Enjoys working both individually and in teams.
  • Is structured and has solid organizational skills, including attention to detail and prioritization skills.
  • Has extensive written and verbal communication skills in English.

  • Bonus requirements:
  • Has published papers in recognized machine learning journals or conferences.
  • Holds a Ph.D. in a relevant field.
  • Has a keen interest in and knowledge of football or other team sports.

  • At Veo, you'll 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 you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply.

    We’re committed to building a diverse, inclusive, and authentic workplace. And you may be just the right candidate for this or other roles.

    Still interested? Join us at Veo and become a part of a team that delivers greatness and has a great time doing it.
    We will invite for interviews continuously, so apply with LinkedIn or your resume as soon as possible.
     
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    Salary Information

    Salary: $80,000 - $120,000

    🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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