2 days ago
Copenhagen, DenmarkSenior
Responsibilities
- Train state-of-the-art machine learning models.
- Build efficient inference pipelines for cloud and edge environments.
- Define and supervise data annotation tasks.
- Improve evaluation schemes to better understand model performance and shortcomings.
- Own technically complex projects from concept through deployment.
- Contribute to long-term planning and task prioritization.
- Mentor colleagues and raise technical standards through feedback, knowledge sharing, and collaboration.
Requirements
- An MSc or PhD in a relevant field, or equivalent practical experience.
- Extensive hands-on experience delivering real-world, large-scale machine learning projects.
- Strong coding and software engineering skills with experience building maintainable production systems.
- Experience owning technically complex projects from concept to deployment.
- Sound technical judgment and the ability to balance research, product, and engineering considerations in ambiguous environments.
- A rigorous and critical approach to examining details, assumptions, and results.
- Strong communication skills and the ability to influence technical direction across teams.
Benefits
- Copenhagen office with an indoor ball court, rooftop terrace, and well-equipped gym.
- Collaborative environment supporting cross-disciplinary work, creative thinking, and engagement with global partners and the Veo community.
- Inclusive workplace welcoming applicants from diverse backgrounds.
Categories
About Veo
Veo builds AI-powered sports cameras and a cloud platform that record, live stream, and analyze matches and training without a camera operator. It sells hardware paired with subscription software to clubs, schools, and academies to review footage, share highlights, and track players and the ball. Founded in 2015 and headquartered in Copenhagen, it reports adoption by more than 40,000 clubs across 90+ countries.