Applied Machine Learning Engineer (Python, Video, Audio) (вакансія неактивна)

Would you like to help democratize the future of video technology? At Qencode, we’re not just at the cutting edge of video technology, we’re redefining it! We partner with Fortune 500 companies like NVIDIA, AWS, and Google to build custom AI models for video transcoding and live streaming. and help power the future of video. From Per-Title Encoding AI and Speech-to-Text with translations, we’re shipping the feature that will help power the next generation of video platforms to deliver the best viewer experiences in the world.

Your Goals

• Find and evaluate relevant models (vision, video, diffusion, autoregressive, multi-task). Fine-tune / adapt them for our video use cases.
• Optimize inference: batching, quantization, model choice, hardware usage, caching.
• Set up metrics and evaluation loops (quality vs. speed vs. cost).

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 education credits you can apply to any course you like
• 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.