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Software Engineer, Video

Meta · Bellevue, WA, USA ·

Pay:
$154,003-$217,000/yr
Job type:
Full Time

Summary
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.

Required Skills
Software Engineer, Video 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

Minimum 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

Preferred Qualifications

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)

Public Compensation
$154,003/year to $217,000/year + bonus + equity + benefits

Industry
Internet

Equal Opportunity
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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