Video Streaming Research Engineer

● The potential work will include building and optimizing the end-to-end video playback system, then leveraging the new protocols/algorithms to achieve lower latency.

● Breakdown the end-to-end latency data, and perform data processing and analysis including generating statistics from experiments, and effectively communicating results of the experiment.

● Contribute to the general research projects of the team like the optimization for CDN distribution, adaptive bitrate algorithms, and network transition protocols.

● Transform the innovation in the work in the form of patents or papers.

Responsibilities and Duties of the Role:

● Investigate and evaluate the front-end low latency streaming protocols, and responsible for launching the valuable features into our system. (50% of Time)

● Drive and participate in the research and development tasks to implement a low-latency video streaming system, including but not limited to the architecture design, developments of the components and tuning of the algorithms. (40% of Time)

● Participate in team scrum meetings to status ongoing activities, update schedule progress, and discuss new tasks. (10% of Time)

Basic Qualifications

● Be familiar with relevant technologies in one or more of the following fields:

* Low latency video streaming algorithms/protocols.

* Video streaming distribution, like CDN or open cache.

* QoS and QoE optimization.

* Application of machine learning/deep learning in streaming systems.

● Basic computer skills and methods for data processing and analysis using either commercial software or scripting (e.g. Python)

● Basic English reading and writing skills, able to communicate effectively with the team

● 3+ years of work experience

Preferred Qualifications

● Experience in the field of low-latency streaming protocol, including but not limited to LL-HLS, LL-DASH, WebRTC, HESP.

● Experience in network transport layer optimization, such as congestion control algorithms.

● Experience in algorithm optimization for multi-CDN scheduling.

● Experience in Live latency optimization.

Required Education

● Master or PhD in Computer Science, Communication, or other technical field relevant to multimedia.