Computer Vision / Video ML Engineer at Medal

Medal provides a platform that allows millions of gamers to record and share their most memorable gaming highlights. With over one million daily active users generating more than three million videos every day across our mobile and desktop applications, we are dedicated to helping our community create lasting memories. We are currently looking for a Senior Computer Vision and Video ML Engineer to join our team in New York City. In this role, you will help us contextualize our massive database of gaming clips, using automated annotations and computer vision to enhance the user experience. Your contributions will directly influence our library and social search features, improve our recommendation systems, and eventually power automated video editing tools.

Key outcomes

• Develop and deploy advanced image embedding and computer vision models to process our extensive library of gaming content.
• Enhance product search functionality and social feed recommendations through sophisticated machine learning techniques.
• Take full ownership of feature development from initial design to production quality.
• Monitor and optimize the performance of machine learning models in a high-throughput production environment.
• Utilize data and A/B testing to measure the success of new features and drive continuous improvement.

Requirements

• At least four years of professional experience in video machine learning, with a specific focus on computer vision and image embedding.
• A strong understanding of code performance and the implications of deploying models into production.
• A result-oriented mindset with the ability to ship features quickly and iterate based on usage metrics.
• The ability to work on-site in our New York City office at least three days per week.
• A genuine passion for gaming, gaming communities, and familiarity with platforms like Discord.
• Proficiency with our core ML stack, including OpenCV, PyTorch, and Kubernetes.
• Fluency in English.

Preferred qualifications

• Experience working with generative AI.
• Familiarity with high-throughput video inference and feature extraction.
• Previous experience working on projects directly related to the gaming industry.

How to apply

If you are interested in joining our team, please submit your application including your resume, a link to your LinkedIn profile, and your GitHub repository. We also ask that you provide links to any applications or projects you have released, along with a brief description of your specific contributions to those projects.