Drimva

Meta

Software Engineer, Multimedia & Multimodal AI

$154K–$217K

Bellevue, WA +2 · Full-time · Posted Sep 23, 2026

Location
Bellevue, WA
Menlo Park, CA
New York, NY
Experience
8+ years of software engineering experience, or a PhD plus 5 years.
Education
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

About the job

Build and lead multimedia data-production and evaluation systems that support training, testing, and improving multimodal AI models.

What you'll do

  • Design and quality-review expert multimedia tasks, reference outputs, guidelines, and rubrics for training and evaluation.
  • Build reliable evaluations and agentic, human-in-the-loop pipelines; diagnose model and instrumentation failures and analyze output gaps.
  • Set team standards and review practices, mentor engineers, and collaborate with research partners.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, a 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.
  • Demonstrated experience designing and building multimedia pipelines, workflows, or tooling.
  • Experience with multimodal model evaluation or data creation, and designing benchmarks or evaluations with reliable grading, reproducibility, and label quality.

Nice to have

  • 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).

Pay

$154,003/year to $217,000/year (base salary)

Tools

H.265, MPEG-DASH, WebRTC, Premiere, After Effects, Blender, Pro Tools

AI focus

Multimodal AI training and evaluation across image, video, audio, speech, and music; building evaluation data, benchmarks, graders, and agentic workflows, with responsible AI quality controls.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)