Research Engineer - Intern; Video and Edge, Multimedia Lab PhD; Intern; Video and Edge, Multimedia

Intern

A129968

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 Byte Dance's products.

Successful candidates 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.

• Support the research and development of machine learning based video coding and processing technologies.
• Explore encoding and decoding framework optimizations for live-streaming use cases, with attention to latency, efficiency, and quality.
• Prototype and evaluate video encoding and processing algorithms on heterogeneous platforms.
• Conduct research on perceptual quality-oriented video coding and processing algorithms.
• Assist in benchmarking, profiling, debugging, and optimizing codec components and related systems.
• Prepare technical reports, experimental analyses, and interface documentation for encoder/decoder modules.
• Collaborate with research scientists and engineers to validate ideas and transfer promising results into production-oriented workflows.

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related technical field.
• Strong foundations in algorithms, data structures, computer systems, and software engineering.
• Good understanding of image/video compression fundamentals and related research topics.
• Strong programming and debugging skills in C/C++ or similar general-purpose programming languages.
• Solid analytical and problem-solving skills.
• Good written and verbal communication skills and a collaborative attitude.

• Research experience in video compression, image/video processing, multimedia systems, or realtime communications.
• Familiarity with one or more video coding standards such as AVS, H.264/AVC, H.265/HEVC, VVC, or AV1.
• Exposure to neural network-based image/video coding or visual processing methods.
• Familiarity with SIMD/NEON optimization, multithreading, or platform-specific performance tuning.
• Experience with live streaming, video conferencing, transcoding, or related video applications.
• Publications or submissions to top conferences or journals in multimedia, image processing, video coding, or related fields.
• Interest in bridging research innovation with practical product impact.

The hourly rate range for this position in the selected city is $57- $57.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

• 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…