almost 2 years ago
Copenhagen, DenmarkEntry Level / Mid Level / Senior
Responsibilities
- Train state-of-the-art machine learning models.
- Write efficient inference pipelines for cloud and edge environments.
- Define and supervise data annotation tasks.
- Improve evaluation schemes to better understand model performance and shortcomings.
- Contribute to long-term project planning and task prioritization.
- Collaborate with researchers and engineers across the machine learning lifecycle.
Requirements
- MSc or PhD in a relevant field.
- Hands-on experience with real-world, large-scale machine learning projects.
- Great coding skills.
- Ability to work autonomously and contribute effectively to group efforts.
- Ability to examine details closely and critically.
- Computer vision experience is advantageous but not required.
Benefits
- Work with a 15-person AI team on challenging AI-driven end-user products.
- Opportunity to influence project direction and engage with current research and recent papers.
- Copenhagen office with an indoor ball court, rooftop terrace, and well-equipped gym.
- Collaborative, diverse, and inclusive work environment.
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.