AI Engineer - Computer Vision

About Riverside

Riverside empowers media companies to record podcasts and video interviews remotely in studio-quality. Since launching, we have experienced rapid growth and are trusted by customers such as Spotify, NY Times, NBC, CNN and iHeartMedia.

About the role

Joining Riverside means being part of a content revolution in which everyone is creating content from everywhere, and AI is at the core of everything we are building as we reinvent the way thousands of creators create and edit quality content.

We are looking for a brilliant and highly motivated AI Engineer with a focus on Computer Vision to join our team that is revolutionizing how audio and video content is video content is recorded, consumed, and improved. You will research and develop advanced algorithms and models to enhance the quality, effects, and aesthetics of audio and video content. You will work closely with our product and other engineering teams, as your work will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.

What you bring to the table

• M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
• 3+ years of hands-on experience developing and deploying machine learning models into production
• Strong background in ML, Deep Learning, Computer Vision, preferably with a focus on audio/video effects and quality enhancement
• Experience in leveraging large-scale compute resources, including distributed GPUs, to train, test, and evaluate models
• Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (OpenCV, TensorFlow, PyTorch, etc.)
• Excellent verbal and written communication skills
• Hands-on experience with image and video processing tasks, such as denoising, stabilization, enhancement, and visual effects
• Experience with temporal.io is a plus
• Experience with Kubernetes and AWS is a plus