Responsibilitie
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 video analysis (ROI, content understanding, feature extraction etc.) and quality assessment algorithms, and participate in database creation, algorithm design/development/optimization, etc. - 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 etc. - Collaborate with Infra and multi-media platform 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, electrical engineering, mathematics, statistics or a related discipline. - 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 etc. - Hands-on experience with machine learning or deep learning and familiarity with frameworks such as PyTorch or TensorFlow. Preferred Qualification(s) - 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, etc. - 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.
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.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
