Senior Multimodal AI Engineer - Multimedia Pipelines

Meta; Atlanta (GA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta in the United States seeks a Senior Multimodal AI Engineer to lead end-to-end development across image, video, audio, and speech modalities. You will define what data to produce, how to measure it, and scale pipelines with human-in-the-loop and expert-in-the-loop designs.

You will collaborate across research, model-training, and engineering, setting standards for quality, reliability, and impact while driving responsible AI practices and cross-team coordination.

Qualifications

• 8+ years of programming in a relevant language or 4+ years with a PhD.
• 3+ years building ML systems in production or research settings.
• Strong Python and PyTorch experience.
• Experience with speech, audio, or music ML and large-scale data pipelines.

Responsibilities

• Set technical direction for a modality or capability area.
• Design and build agentic workflows and pipelines with human-in-the-loop designs.
• Own data pipelines at scale: ingestion, labeling, captioning, provenance.
• Build evaluation infrastructure and run rigorous ablations.
• Mentor engineers and contribute to hiring and onboarding.
• Develop generative and representation models for speech, sound, and music.

Skills

Python

PyTorch

ML systems

Distributed training

Speech/audio/music ML

English communication

Education

Bachelor's degree in CS or related field

PhD (optional)

Tools

Git

TensorBoard

Linux

Job description

Meta in the United States seeks a Senior Multimodal AI Engineer to lead end-to-end development across image, video, audio, and speech modalities. You will define what data to produce, how to measure it, and scale pipelines with human-in-the-loop and expert-in-the-loop designs.

You will collaborate across research, model-training, and engineering, setting standards for quality, reliability, and impact while driving responsible AI practices and cross-team coordination.