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Software Engineer, Multimedia & Multimodal AI

Meta· Engineering
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Menlo Park, CA$154k - $217kFull-timePosted 2w ago

About the role

Role focused on building and evaluating multimodal AI systems across image, video, audio, and speech domains within Meta's Applied AI organization. Lead data production, measurement, evaluation pipelines, and model development for multimedia modalities, while owning outcomes and setting engineering standards.

Responsibilities

  • 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 manual authoring.
  • Design and own data pipelines at scale: ingestion, filtering, pseudo-labeling and captioning with attribute classifiers, and provenance tracking for audio corpora.
  • Build evaluation infrastructure: objective metrics (speaker/style similarity, codec and generator quality), human listening-test pipelines, and correlation analysis.
  • Improve training efficiency and reliability — distributed training, GPU utilization, codec and tokenizer retraining, experiment management.
  • Reproduce and extend state-of-the-art research: implement new methods from papers into codebases and run rigorous ablations.
  • Mentor engineers, contribute to hiring/onboarding, and raise the bar on evaluation and quality practices.
  • Build and train generative and representation models for speech, sound, and music — including text-, audio-, and video-conditioned generation, infilling, editing, and style transfer.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
  • 3+ years building ML systems in production or research settings
  • Strong Python and PyTorch
  • Demonstrated experience with speech, audio, or music ML - ASR, TTS, audio codecs, music information retrieval, self-supervised audio representation learning, or audio generative modeling
  • Experience with large-scale data pipelines and distributed training
  • Track record of translating research ideas into working, measurable systems

Skills

Required:Agentic workflows and pipelines designData pipelines at scaleEvaluation infrastructureModel development (speech/audio/music)
Nice to have:Distributed training
Last updated Oct 23, 2026. Interested? Apply on the company site.

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