Machine Learning Engineer - Audio and Video Enhancement - Remote

Overview

This role involves researching advanced algorithms and models to enhance audio and video content quality, working closely with product and engineering teams to implement cutting-edge features in Riverside's applications.

In Short

• Research advanced algorithms for audio and video enhancement.
• Collaborate with product and engineering teams.
• Conduct research and identify trends in AI systems.
• Enhance performance, efficiency, and scalability of AI models.
• Work on real-time rendering and intelligent editing.
• Utilize machine learning, NLP, and computer vision technologies.
• Focus on transforming content creation through AI.
• Contribute to the development of innovative media tools.
• Engage in a fast-paced and challenging work environment.
• Make a genuine impact with your ideas and contributions.

Requirements

• M.Sc. or PhD in Computer Science, Mathematics, or Engineering.
• 5+ years of industry experience in ML and Deep Learning.
• Experience with large-scale compute resources, including distributed GPUs.
• Proficiency in Python and relevant ML libraries.
• Strong communication skills.
• Experience with speech enhancement or emotion detection is a plus.
• Knowledge of audio processing and effects is a plus.
• Familiarity with Kubernetes and AWS is a plus.

Benefits

• Opportunity to work with cutting-edge technology.
• Dynamic and innovative work culture.
• Collaborate with brilliant professionals.
• Make a significant impact on content creation.
• Engage in challenging projects.