Multimodal AI Engineer: Data Pipelines & Evaluation

Meta; Richmond (VA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta in the United States is seeking a senior Software Engineer for Multimodal AI focused on multimedia and multimodal data. You will own data pipelines, measurement frameworks, and evaluation infrastructure spanning image, video, audio, speech, and music modalities.

The role emphasizes translating research ideas into scalable systems and mentoring engineers. The position targets experienced ML engineers with strong Python/PyTorch skills, distributed training, and a track record in production ML

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent
• 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
• Strong Python and PyTorch
• Demonstrated experience with speech, audio, or music ML (ASR, TTS, audio codecs, MIR, etc.)
• 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 with human-in-the-loop designs
• Design and own data pipelines at scale: ingestion, filtering, labeling, captioning, provenance tracking
• Build evaluation infrastructure: objective metrics and human listening tests
• Improve training efficiency and reliability: distributed training, GPU utilization
• Reproduce and extend state-of-the-art research by implementing methods from papers
• Mentor engineers, contribute to hiring and onboarding, raise the bar on evaluation
• Build and train generative and representation models for speech, sound, and music

Skills

Python

PyTorch

ML systems

Speech ML

Data pipelines

Distributed training

Research to production

Education

Bachelor's degree

PhD

Job description

Meta in the United States is seeking a senior Software Engineer for Multimodal AI focused on multimedia and multimodal data. You will own data pipelines, measurement frameworks, and evaluation infrastructure spanning image, video, audio, speech, and music modalities.

The role emphasizes translating research ideas into scalable systems and mentoring engineers. The position targets experienced ML engineers with strong Python/PyTorch skills, distributed training, and a track record in production ML