Senior Multimodal AI Engineer

Meta Careers; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta's Applied AI group is seeking a senior engineer to lead end-to-end multimodal data pipelines in Multimedia & Multimodal AI. You will own data production, evaluation, and deployment, spanning image, video, audio, and speech modalities, from research questions to scalable pipelines.

You will set direction, define success metrics, mentor engineers, and collaborate with research, model-training, and engineering teams.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 8+ years programming or 4+ years with PhD.
• 3+ years building ML systems in production or research.

Responsibilities

• Set technical direction for a modality or capability area.
• Design and build data pipelines and evaluation infrastructure.
• Mentor engineers and contribute to hiring and onboarding.
• Lead end-to-end data production and measurement pipelines.
• Collaborate across research, model-training, and engineering partners.

Skills

Python

PyTorch

Distributed training

ML systems

Speech ML

Data pipelines

Research-to-production

Education

Bachelor's degree in CS/Engineering or equivalent

Job description

Meta's Applied AI group is seeking a senior engineer to lead end-to-end multimodal data pipelines in Multimedia & Multimodal AI. You will own data production, evaluation, and deployment, spanning image, video, audio, and speech modalities, from research questions to scalable pipelines.

You will set direction, define success metrics, mentor engineers, and collaborate with research, model-training, and engineering teams.