Video/Image AI/ML Software Engineer

About The Team

The Multimedia Lab builds highly efficient, scalable video codec hardware solutions (FPGA and ASIC) from the ground up, serving billions of users. We bring together algorithm, architecture, software, firmware, and hardware design and verification expertise. We are looking for strong software and firmware engineers to design algorithms, C-model, and firmware for advanced video encoding and processing implemented in dedicated hardware accelerators.

Key Responsibilities

• Design video analysis (ROI, content understanding, feature extraction etc.) and quality assessment algorithms.
• Participate in database creation, algorithm design/development/optimization.
• Participate in designing strategy and solutions for E2E video quality optimization with a combination of video analysis, processing and encoding algorithms, such as frame-level rate control.
• Apply designed algorithms for VOD / Live streaming monitoring, data analysis, objective evaluation for algorithms.
• Collaborate with Infra and multi-media platform teams to integrate algorithms into production workflows and validate their impact through A/B testing.

Requirements & Tech Stack

• Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to: C/C++, Python.
• Knowledge of image/video analysis algorithms or subjective/objective image/video quality algorithms, and state-of-the-art technologies, such as VMAF, PSNR, SSIM.
• Hands-on experience with machine learning or deep learning and familiarity with frameworks such as PyTorch or TensorFlow.

Qualifications

• Individuals who are completing or have recently completed a PhD degree in computer science, electrical engineering, mathematics, statistics or a related discipline.
• Research and hands-on experience in designing, training, or applying deep learning models, including CNNs, Transformer architectures, and multimodal large language models (MLLMs).
• Knowledge of common video processing algorithms, such as super-resolution, diffusion model.
• Knowledge of video codecs (AVC, HEVC, AV1, VP9, etc.) and experience in video codec design.
• Experience with embedded processors like ARM Cortex M0/M3/M4 or RISC-V architecture, and real-time development in an RTOS environment.
• Great communication skills, eager to learn, and always passionate about turning cutting-edge technologies into real-life use cases.
• Must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.