Voice LLM Research Engineer — On‑Device & Server

Meta; Redmond (WA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Reality Labs at Meta is seeking a Research Engineer to join the Polyglot AI team focused on Voice LLMs for speech recognition, translation, and synthesis. The role involves developing state-of-the-art models and deploying them across server and on-device environments.

You will curate data, build evaluation frameworks, and conduct rigorous experiments to improve quality, latency, and efficiency while collaborating closely with product managers, engineers, and designers to ship production-ready

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience developing and deploying ML models for speech or language applications.
• Experience with Voice LLMs or speech processing systems.
• Experience deploying ML models to production.
• Experience building datasets and evaluation pipelines for ML systems.

Responsibilities

• Research and develop Voice LLM models for speech recognition, translation, and synthesis.
• Deploy Voice LLM systems to production, including server-side and on-device implementations.
• Build and maintain high-quality datasets for training and evaluation.
• Design and implement evaluation frameworks and metrics to measure model performance.
• Collaborate with product managers, engineers, and UX designers to deliver production-ready features.

Skills

ML deployment

Speech recognition

Translation

Speech synthesis

Ablation studies

Cross-functional teamwork

On-device deployment

Experimentation

Education

Bachelor's degree in CS/CE or related field

Tools

Python

PyTorch

TensorFlow

Job description

Reality Labs at Meta is seeking a Research Engineer to join the Polyglot AI team focused on Voice LLMs for speech recognition, translation, and synthesis. The role involves developing state-of-the-art models and deploying them across server and on-device environments.

You will curate data, build evaluation frameworks, and conduct rigorous experiments to improve quality, latency, and efficiency while collaborating closely with product managers, engineers, and designers to ship production-ready