Senior Multimodal AI Engineer-Audio/Video/Speech Pipelines

Meta; Phoenix (AZ); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta seeks a senior engineer to lead multimodal ML work end to end across image, video, audio and speech. You will own data and evaluation pipelines, define success for your modality, and drive impact beyond your own contributions.

You will mentor engineers, collaborate with research and engineering partners, and ship scalable systems from data collection to deployment, including human-in-the-loop and provenance tracking.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 8+ years in programming or 4+ years with a PhD.
• 3+ years building ML systems in production or research.
• 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.
• Determine where the team invests and what success looks like.
• Drive cross-team collaboration beyond your own scope.
• Design and build agentic workflows and pipelines with human/ expert-in-the-loop.
• Own data pipelines: ingestion, filtering, pseudo-labeling and captioning.
• Build evaluation infrastructure: objective metrics and human listening tests.

Skills

Python

PyTorch

Speech/Audio/Music ML

Distributed training

Data pipelines

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field

Job description

Meta seeks a senior engineer to lead multimodal ML work end to end across image, video, audio and speech. You will own data and evaluation pipelines, define success for your modality, and drive impact beyond your own contributions.

You will mentor engineers, collaborate with research and engineering partners, and ship scalable systems from data collection to deployment, including human-in-the-loop and provenance tracking.