Key skills
C++CAIMLComputer VisionGenAICommunication
About this role
At Meta, we're developing innovative products that enable people to connect with loved ones and push the boundaries of computing platforms. As a Video Software Engineer, you'll have the opportunity to work on a wide range of products, including Messenger, Video, Groups, News Feed, Search, AR/VR, and GenAI, building video solutions that drive billions of interactions per day. You'll help create new features, improve existing products, and develop immersive video experiences that bring people closer together. By joining our team, you'll be part of creating products used by billions of people worldwide, solving complex technical problems, and contributing to the evolution of online connection and community products.
Responsibilities
Research, develop, and troubleshoot real time communication systems, related to video and audio codecs, cameras, displays, and microphones
* Work closely with cross-functional teams to understand features, operation, and specify enhancements
* Optimizing and improving video codec efficiency, encode rate control, speed, video, pre- and post-processing and error resilience
* Debugging and diagnosing quality of end-to-end video experience on lossy networks in real-time communication scenarios
* Define the video optimization roadmap for both low-end and high-end network and devices
* Lead the definition and implementation of media processing pipeline
* Continuously improve the efficiency of the automated test tooling by leveraging automated test infrastructure
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* 5+ years of software development experience in industry settings or PhD with 2+ years of experience
* 3+ years of relevant video software engineering experience in industry settings
* Experience in C/C++ multithreaded programming
* Experience leading large or complex projects, defined goals and delivered milestones by leading teams Using ML-based quality metrics and metadata for large-scale quality evaluation
* Leveraging AI-based enhancement tools that complement standard video-codecs (AV1)
* Benchmarking of traditional and novel audio/video processing use cases
* Designing AI/ML-based compression algorithms to reduce the platform's compute footprint, while improving end-user experience
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
* Experience with neural video/image compression and AI research
* Intelligent algorithms to improve video quality for calling and video conferencing
* Knowledge of multimedia/rendering stack, including containers, codecs, and AV synchronization, CV/ML
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience with computer vision, video/image codecs, or video/image processing
* Expertise in camera, graphics and /or on-device ML processing and enhancement
* Experience designing power-efficient software for mobile or embedded systems
* Industry experience in Video-on-Demand, RTC, or videos at scale
* Experience with state-of-the-art video codecs, e.g., H.264/AVC, HEVC, AV1, and AV2
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Responsibilities
Research, develop, and troubleshoot real time communication systems, related to video and audio codecs, cameras, displays, and microphones
* Work closely with cross-functional teams to understand features, operation, and specify enhancements
* Optimizing and improving video codec efficiency, encode rate control, speed, video, pre- and post-processing and error resilience
* Debugging and diagnosing quality of end-to-end video experience on lossy networks in real-time communication scenarios
* Define the video optimization roadmap for both low-end and high-end network and devices
* Lead the definition and implementation of media processing pipeline
* Continuously improve the efficiency of the automated test tooling by leveraging automated test infrastructure
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
* 5+ years of software development experience in industry settings or PhD with 2+ years of experience
* 3+ years of relevant video software engineering experience in industry settings
* Experience in C/C++ multithreaded programming
* Experience leading large or complex projects, defined goals and delivered milestones by leading teams Using ML-based quality metrics and metadata for large-scale quality evaluation
* Leveraging AI-based enhancement tools that complement standard video-codecs (AV1)
* Benchmarking of traditional and novel audio/video processing use cases
* Designing AI/ML-based compression algorithms to reduce the platform's compute footprint, while improving end-user experience
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
* Experience with neural video/image compression and AI research
* Intelligent algorithms to improve video quality for calling and video conferencing
* Knowledge of multimedia/rendering stack, including containers, codecs, and AV synchronization, CV/ML
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience with computer vision, video/image codecs, or video/image processing
* Expertise in camera, graphics and /or on-device ML processing and enhancement
* Experience designing power-efficient software for mobile or embedded systems
* Industry experience in Video-on-Demand, RTC, or videos at scale
* Experience with state-of-the-art video codecs, e.g., H.264/AVC, HEVC, AV1, and AV2
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)