AI Research Engineer - Computer Vision

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.

Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

About The Innovation Team

At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.

On your day to day

You will research 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.

Requirements:

What Will Make You Stand Out?

• M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
• Strong background in ML, Deep Learning, Computer Vision, preferably with a focus on audio/video effects and quality enhancement, at least 5 years of industry experience
• 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 generative computer vision and audio pipelines is a plus
• Experience with temporal.io is a plus
• Experience with Kubernetes and AWS is a plus
  
  

Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.