软件工程师，多媒体与多模态AI

Design, create, and quality-review expert multimedia tasks and reference outputs for model training and evaluation.

Define task guidelines, rubrics, and quality criteria; calibrate reviewers to apply them consistently.

Build and harden evaluations.

Make graders reliable, separate model failure from instrumentation failure, and reproduce and debug quality issues to resolution.

Analyze failure modes in model outputs and propose new task types or data to close gaps.

Design and build agentic workflows and pipelines, including human-in-the-loop and expert-in-the-loop designs, to automate data production and scale output past what manual authoring supports.

Mentor engineers on the team, contribute to hiring and onboarding, and raise the bar on evaluation and quality practice.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8+ years of software engineering experience, or a PhD plus 5 years, including significant depth in one or more media modalities (video, image, audio, speech, or music)

Working understanding of how models are trained and evaluated, and of how data quality and coverage shape model behavior

Experience owning software components or systems end to end, and driving work with cross-functional partners

Hands-on experience evaluating or red-teaming multimodal models, or creating the data used to improve them

Experience designing benchmarks or evaluations for model capability, with attention to grading reliability, reproducibility and label quality

Working knowledge of common video, audio and streaming standards (e.g. H.265, MPEG-DASH, WebRTC)

Fluency with professional media tooling (e.g. Premiere, After Effects, Blender, Pro Tools).

We care about this because authoring tasks a model cannot solve requires knowing what expert media work actually looks like

Experience building data pipelines for image, video, audio, speech or complex media formats, including versioning, lineage and provenance

Experience working directly with researchers and translating research needs into engineering and evaluation work

Experience with zero-to-one work: forming a charter and standing up process while priorities are still moving

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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You may view our Equal Employment Opportunity notice here.

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

8+ years of software engineering experience, or a PhD plus 5 years, including significant depth in one or more media modalities (video, image, audio, speech, or music).