Multimodal AI Engineer: Data Pipelines & Evaluation

Meta Careers; United States; Remote; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Software Engineer for Multimedia & Multimodal AI within Applied AI (AAI). You will design data pipelines, annotation and evaluation workflows for multimodal models handling image, video, audio and speech inputs and outputs. The role emphasizes scalable data production, model evaluation infrastructure and high-quality results.

You will mentor engineers, contribute to hiring, and advance capabilities in speech, music and video generations while upholding responsible AI practices.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 6+ years of programming experience in a relevant language or 3+ years with a PhD.
• 3+ years building ML systems in production or research settings.

Responsibilities

• Design and build agentic workflows and pipelines, including human-in-the-loop designs.
• Build data pipelines at scale: ingestion, filtering, pseudo-labeling and captioning with classifiers.
• Develop evaluation infrastructure: objective metrics and human listening tests.
• Improve training efficiency and reliability: distributed training and experiment management.
• Reproduce and extend state-of-the-art research by implementing methods from papers.
• Mentor engineers and contribute to hiring and onboarding.
• Build and train generative and representation models for speech, sound, and music.

Skills

Python

PyTorch

Distributed training

Education

Bachelor's degree in Computer Science or related field

Tools

GPU clusters

ML tooling

Job description

Meta seeks a Software Engineer for Multimedia & Multimodal AI within Applied AI (AAI). You will design data pipelines, annotation and evaluation workflows for multimodal models handling image, video, audio and speech inputs and outputs. The role emphasizes scalable data production, model evaluation infrastructure and high-quality results.

You will mentor engineers, contribute to hiring, and advance capabilities in speech, music and video generations while upholding responsible AI practices.