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Software Engineer, Multimedia & Multimodal AI

Meta· Engineering
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Hybrid (Menlo Park, CA)$184k - $257kFull-timePosted 2w ago

About the role

Meta's Applied AI organization (AAI) is hiring a senior Software Engineer to lead end-to-end multimodal multimedia work across image, video, audio, and speech. The role focuses on data production, measurement, and scalable pipelines for multimodal evaluation and generation, with ownership of modality/capability areas and cross-team collaboration.

Responsibilities

  • Set technical direction for a modality or capability area.
  • Determining where the team invests, what success means, and the tradeoffs behind both.
  • Drive that direction across partner teams, not just inside your own.
  • 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.
  • 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 the correlation analysis that ties the two together.
  • 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 our codebases and run rigorous ablations.
  • Mentor engineers on the team, contribute to hiring and onboarding, and raise the bar on evaluation and quality practice.
  • 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
  • 8+ years of programming experience in a relevant language OR 4+ years experience with a 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:modality or capability area leadershipdata pipelines at scaleevaluation infrastructuredistributed traininggenerative and representation models for speech, sound, and music

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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