Job Description

We are currently looking for bright Video Deep learning talent who have 4-5 years of industry experience, working on problems related to the Video AI space.

The ideal candidate will be proficient in implementing and optimizing ML/DL/AI models, particularly for video and image processing, while also having a deep understanding of encoding and decoding algorithms.

If you are passionate about advancing multimedia technologies and have hands-on experience with deep learning and video compression standards, we encourage you to apply.

As part of our team, you will work on cutting-edge projects in video and image compression, activity detection, object detection, and related areas. You will be responsible for implementing, tuning, and evaluating ML/DL models h, optimizing performance, and applying your expertise in compression algorithms to improve encoding/decoding efficiency.

Minimum Qualifications

• Execution of ML/DL/AI models on PyTorch or any other FraMework, loss and performance analysis, regression tracking
• Good understanding of Deep Learning concepts (model parameters, tuning of models, optimizers, learning rates, attention mechanisms, masking etc).
• Thorough understanding of deep learning implementations of activity detection or object detection.
• Expertise in video and image compression standards (such as H.264, HEVC, AV1, JPEG) and relevant encoding/decoding algorithms.
• Proficiency in using quality metrics such as SSIM, PSNR to evaluate encoding/decoding performance.
• Experience with hardware acceleration techniques in multimedia processing is a plus
• Expertise in numeric analysis, loss/accuracy, and performance debug in validation environment
• Solid development experience (git, cmake, gdb, strace, shell, etc.) in Unix-like (Linux) environment. The candidate must be able to identify and debug system issues
• Proficiency in Version control tools like GIT, GITlab, Gerrit Reviews
• Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release.
  
  

Preferred Qualifications

• Good Understanding of DALI / FFMPEG / gstreamer encoding, decoding and pre-processing functions.
• Knowledge of deployment tools like Triton inference server or Ray is a plus.
  
  

(ref:hirist.tech)