Full Job Description
Responsibilities
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, designing high-performance video silicon IP across ASIC and SoC digital design, verification, and next-generation video codec hardware. Alongside the silicon work, we advance research in video understanding, perceptual quality assessment, image and video enhancement, and intelligent coding, including using multimodal models to improve coding decisions. Quality, efficiency, and speed rarely improve together. Sharper images and better perceived quality usually cost bitrate, compute, or latency, and a technique that works in research does not always survive production at global scale. You will take ideas from research through to silicon and production systems, where research decisions show up in the cost and quality of video across ByteDance's products.
Responsibilities - Design strategy and solution for E2E video quality optimization with a combination of video analysis, processing and encoding algorithms. - Apply designed algorithms for VOD / Live streaming monitoring, data analysis, objective evaluation for algorithms, etc. - Collaborate with X-functional teams to integrate algorithms into production workflows and validate their impact through A/B testing.
Qualification
Minimum Qualification(s): - Individuals who are completing or have recently completed a PhD degree in Computer Science, Engineering, or a related discipline. - In-depth knowledge of video enhancement/compression algorithms or subjective/objective video quality, algorithms, and state-of-the-art technologies. - Proficient in one of the following: C, C++, Python. Preferred Qualification(s): - Familiar with ML and image processing tools, including sklearn, OpenCV, FFmpeg, etc. - Familiar with deep learning frameworks (TensorFlow/PyTorch). - Familiar with mainstream multi-modal large models (MLLMs) and AI agent technologies, and hands-on implementation or research experience preferred. - Familiar with Linux development environments, shell scripting, HDFS, etc. - Great communication, eager to learn, and always passionate about turning cutting-edge technologies into real-life use cases.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
