Senior Multimodal AI Engineer - Pipelines & Evaluation

Meta; Austin (TX); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta's Applied AI (AAI) organization is seeking a senior Software Engineer to lead multimodal data pipelines across image, video, audio and speech. You will decide what data to produce, measure it, and carry projects from open questions to repeatable, scalable workflows used by research and engineering partners.

You will mentor engineers, help shape evaluation standards, and contribute to building generative and representation models for speech, sound, and music.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
• 3+ years building ML systems in production or research settings
• strong Python and PyTorch
• Demonstrated experience with speech, audio, or music ML - ASR, TTS, audio codecs, music information retrieval, self-supervised audio representation learning, or audio generative modeling
• Experience with large-scale data pipelines and distributed training
• Track record of translating research ideas into working, measurable systems

Responsibilities

• Design and build agentic workflows and pipelines, including human-in-the-loop and expert-in-the-loop designs, to automate data production and scale output past what manual authoring supports.
• Design and own data pipelines at scale: ingestion, filtering, pseudo-labeling and captioning with attribute classifiers, and provenance tracking for audio corpora.
• Build evaluation infrastructure: objective metrics, human listening-test pipelines, and the correlation analysis that ties the two together.
• Improve training efficiency and reliability — distributed training, GPU utilization, codec and tokenizer retraining, experiment management.
• Reproduce and extend state-of-the-art research: implement new methods from papers into our codebases and run rigorous ablations.
• Mentor engineers on the team, contribute to hiring and onboarding, and raise the bar on evaluation and quality practice.
• Build and train generative and representation models for speech, sound, and music — including text-, audio-, and video-conditioned generation, infilling, editing, and style transfer.

Skills

Python

PyTorch

ML systems

Speech ML

Large-scale pipelines

Distributed training

Research-to-prod

Education

Bachelor's degree in Computer Science/Engineering or equivalent

PhD (optional)

Job description

Meta's Applied AI (AAI) organization is seeking a senior Software Engineer to lead multimodal data pipelines across image, video, audio and speech. You will decide what data to produce, measure it, and carry projects from open questions to repeatable, scalable workflows used by research and engineering partners.

You will mentor engineers, help shape evaluation standards, and contribute to building generative and representation models for speech, sound, and music.