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.
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 AI models, and make critical technical decisions that shape our platform’s capabilities.
In this dynamic role, you’ll work directly with our CTO to architect solutions that boost video encoding efficiency, platform performance, and optimize systems to ensure seamless, reliable, and scalable experiences for users worldwide.
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.