Senior Research Engineer

Description

We built an agentic platform that helps content creators, podcasters, marketers, and major brands like Spotify, TED, NBC, Netflix, and Disney capture and create high quality audio and video content with ease.

The traditional production process is slow and never built for today's scale. Riverside's technology streamlines the entire content production process, turning real conversations into professional grade videos, podcasts, webinars, livestreams, and whatever comes next.

Quality is in everything we do, and it starts the moment people hit record together. This is where your role comes in: as a Senior Software Engineer on our Live Call team, you'll build the real-time layer that every Riverside recording runs on.

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

We are looking for a brilliant and highly motivated AI Engineer with a focus on NLP to join our team that is revolutionizing how audio and video content is transcribed, analyzed, understood, and edited. You will work closely with our product and other engineering teams, as your research and development 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
• 5+ years of hands-on experience developing and deploying machine learning models into production
• Strong background in ML, Deep Learning, NLP, preferably with a focus on audio/video transcription and analysis
• 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

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.