Applied ML / Python Engineer (Video, Audio, Automation) Offline

Are you ready to democratize the future of video technology? At Qencode, we’re not just at the cutting edge — we’re redefining it! We’ve earned the trust of industry leaders including Fortune 500 like NVIDIA, AWS, and Google. Our groundbreaking Per-Title Encoding AI model, launched in 2019, has already transformed how media companies think about video compression to deliver maximum efficiency without sacrificing quality!

But we’re just getting started! We’re on a mission to change video APIs for developers worldwide, and we continue to ship updates like our latest Speech-to-Text for automatic subtitles and transcripts.

As a key technical contributor, you’ll drive the integration of advanced AI models for video enhancement, including upscaling, text-to-speech, automated video descriptions, and more. Your work will directly impact millions of video processing tasks, pushing the boundaries of what’s possible with modern AI infrastructure.

Build the future of automated video intelligence! You’ll design and implement large-scale testing frameworks that ensure quality and performance across our entire video processing pipeline. We need someone who thrives on solving complex technical challenges and can transform cutting-edge research into production-ready systems.

We’re looking for a technical expert who combines deep machine learning knowledge with practical engineering skills. You’ll have the autonomy to architect solutions, experiment with new models, and make critical technical decisions that shape our platform’s capabilities.

If you’re passionate about applying AI to real-world video challenges, if you get energized by building scalable systems that push performance boundaries, and if you’re ready to work with the latest open-source AI models — WE WANT YOU ON OUR TEAM!

Your Goals

• Research, evaluate, and integrate new open-source AI models for video processing tasks including upscaling, text-to-speech synthesis, automated video description generation, and other emerging capabilities
• Develop automated systems to run large-scale quality assurance and performance benchmarks across our video processing pipeline
• Optimize AI models for production environments, balancing quality, speed, and resource utilization
• Architect fault-tolerant, scalable video processing pipelines that can handle millions of requests with high reliability

Benefits

• An opportunity to work on the latest video technology in a fast-paced and dynamic environment.
• Exposure to a wide range of work experience.
• Environment of innovation where new ideas are encouraged and rewarded.
• Work directly with the founding team.
• We offer an education credit (it’s important to keep learning)
• 100% Remote position

About Us

Qencode is on a mission to develop cloud video APIs that democratize the latest video technology for developers around the world. Our platform combines transcoding, live streaming, storage, and global delivery in one unified API, leveraging the latest breakthroughs in artificial intelligence and video processing.

A trusted technology partner to the most demanding companies (including NVIDIA, AWS, Google, and DigitalOcean), Qencode serves clients ranging from high growth startups to Fortune 500 around the world.

We have several unique features, like machine-learning powered Per-Title Encoding which reduces file sizes 60% without quality loss, while supporting popular formats like HLS, MPEG-DASH, MP4 and WebM. With flexible customization and competitive pricing, we’re built for enterprise-scale deployment across any workflow.

Founded in 2017, Qencode is headquartered in Los Angeles, CA.