A leading global company in AI-based sports camera technology offers an innovative, fully automatic camera solution that allows sports teams to record matches and training sessions without the need for a camera operator. The organization aims to democratize sports by making video analysis accessible to teams at all levels—a capability previously reserved for a select few. With over 40,000 clubs in 90+ countries recording games weekly, the company is experiencing rapid growth, creating a dynamic, exciting, and challenging environment across all roles.
The organization takes pride in its team, comprising some of the brightest minds in the industry. This talented group drives the development of exceptional products while fostering a culture of enjoyment and collaboration.
Machine Learning Engineers within the company work on challenging problems, directly contributing to the value delivered by its AI-driven end-user products. The AI team includes 15 researchers and engineers who manage all stages of machine learning lifecycles across various projects, from scoping and defining data annotation tasks to modeling, validation, and deployment. Team members have the autonomy to shape their projects while benefiting from constructive feedback and collaboration with peers to enhance collective success. The team stays abreast of the latest research, regularly discussing concepts from recent papers to evaluate their applicability to ongoing tasks and product challenges.
The company is seeking an ambitious, high-performing junior to senior engineer or researcher with proven experience in real-world machine learning projects to join the team. While experience with computer vision is advantageous, it is not mandatory.
Responsibilities
Train state-of-the-art machine learning models
Develop efficient inference pipelines for cloud and edge platforms
Define and oversee data annotation tasks
Enhance evaluation methods to improve understanding of model performance and limitations
Contribute to long-term planning and task prioritization
Qualifications
MSc or PhD in a relevant field
Hands-on experience with large-scale, real-world machine learning projects
Strong coding skills
Proficiency in both independent tasks and team collaboration
Attention to detail and critical evaluation skills
The company provides a thriving work environment characterized by diversity, rapid growth, and a positive culture. Its Copenhagen office features unique amenities, including an indoor ball court, rooftop terrace, and gym, designed to foster collaboration and creativity. The organization values diversity and inclusivity, welcoming individuals from all backgrounds. Candidates whose qualifications may not align perfectly with the job description are encouraged to apply, as the company is committed to building a diverse and authentic workplace.