Senior Multimodal AI Systems Engineer

Meta; Carson City (NV); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta’s Applied AI (AAI) team is seeking a senior engineer to lead end-to-end multimodal initiatives across image, video, audio, and speech. You will own data production, measurement, and evaluation pipelines, setting standards for the team.

You will work with research, model-training and engineering partners, mentor engineers, and drive impact through scalable pipelines and rigorous evaluation practices.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• 8+ years programming experience or 4+ years with a PhD.
• 3+ years building ML systems in production or research.
• Strong Python and PyTorch expertise.
• Experience with speech, audio or music ML (ASR, TTS, codecs, RIR, or generative modeling).
• 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.
• Decide where the team invests and define success metrics.
• Drive direction across partner teams.
• Design and build agentic workflows and data pipelines with human-in-the-loop.
• Own data pipelines: ingestion, filtering, pseudo-labeling, captioning, provenance.
• Build evaluation infrastructure: objective metrics and listening tests.
• Improve training efficiency and reliability via distributed training and tooling.
• Reproduce and extend state-of-the-art research in codebases with ablations.
• Mentor engineers, contribute to hiring and onboarding.
• Build and train generative and representation models for speech, sound, and music.

Skills

Python

PyTorch

Multimodal ML

ML pipelines

Distributed training

Speech / Audio ML

Data-driven evaluation

Research-to-prod translation

Leadership & mentoring

Model evaluation

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

Meta’s Applied AI (AAI) team is seeking a senior engineer to lead end-to-end multimodal initiatives across image, video, audio, and speech. You will own data production, measurement, and evaluation pipelines, setting standards for the team.

You will work with research, model-training and engineering partners, mentor engineers, and drive impact through scalable pipelines and rigorous evaluation practices.