AI Research Engineer

Hi! Thanks for checking us out!

Who we are:

Riverside is your online studio for high-quality recordings and incredibly smart and fast editing. It's powered by AI, but built for human conversations - anything from podcasts to video marketing is captured with 4K video quality and crystal-clear audio, no matter where you’re located.

By removing all barriers between idea and expression, we empower anyone to create stories and conversations that engage their audience and inspire the world with conversations and stories.

Role Overview:

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 researcher to join our team that is revolutionizing how audio and video content is recorded, consumed, and improved.

What will your day to day look like:

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:

Your areas of expertise most relevant to this role:

• 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
• 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
  
  

• We're still small, so there are not too many layers of bureaucracy to work through. You can have a huge impact here.
• Talented partners and plenty of space to learn and teach
• Competitive Salary and benefits and so much more!