Senior Multimodal AI Engineer — Media, Audio & Video

Meta; Austin (TX); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta's Applied AI (AAI) team is seeking a senior engineer to own multimodal data pipelines, evaluation, and model development across image, video, audio, and speech domains. You will decide what data to produce, how to measure it, and shepherd work from concept to production.

You will lead cross-functional collaboration, mentor engineers, and raise the bar on evaluation and quality with broad impact on model quality at scale.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering with 8+ years coding experience OR 4+ years with a PhD.
• 3+ years building ML systems in production or research settings.
• Strong Python and PyTorch.
• Experience with speech, audio, or music ML (ASR, TTS, audio codecs, music IR etc.).
• Experience with large-scale data pipelines and distributed training.
• Track record translating research ideas into measurable systems.

Responsibilities

• Set technical direction for a modality or capability area.
• Determine investment and success metrics, and tradeoffs.
• Drive direction across partner teams, not just inside your own.
• Design and build agentic workflows and pipelines with human-in-the-loop designs.
• Design and own data pipelines at scale: ingestion, filtering, pseudo-labeling, captioning, provenance.
• Build evaluation infrastructure: metrics and human listening-test pipelines.
• Improve training efficiency and reliability: distributed training and resource utilization.
• Reproduce and extend state-of-the-art research in code and ablations.
• Mentor engineers, contribute to hiring and onboarding, raise quality standards.
• Build and train generative and representation models for speech, audio, and music.

Skills

Python

PyTorch

ML systems

Distributed training

Speech/audio/music ML

Large-scale data pipelines

Research to production

Education

Bachelor's degree in CS/Engineering

Job description

Meta's Applied AI (AAI) team is seeking a senior engineer to own multimodal data pipelines, evaluation, and model development across image, video, audio, and speech domains. You will decide what data to produce, how to measure it, and shepherd work from concept to production.

You will lead cross-functional collaboration, mentor engineers, and raise the bar on evaluation and quality with broad impact on model quality at scale.