Research and develop state-of-the-art Voice LLM models for speech recognition, translation, and synthesis Deploy Voice LLM systems to production environments, including both server-side infrastructure and on-device implementations Build and maintain high-quality datasets for training and evaluating Voice LLM systems Design and implement evaluation frameworks and metrics to measure model performance and drive improvements Conduct rigorous experimentation and ablation studies to optimize model quality, latency, and efficiency across deployment targets Collaborate closely with product managers, engineers, and UX designers to align technical solutions with user needs and deliver production-ready features Stay at the forefront of research in speech processing, Voice LLMs, and multilingual AI, bringing new methodologies into the team's development pipelineBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5+ years experience developing and deploying machine learning models for speech or language applications Experience with Voice LLMs or speech processing systems (speech recognition, translation, or synthesis) Demonstrated experience in deploying ML models to production Track record of building and maintaining datasets and evaluation pipelines for ML systems Proven ability to communicate complex technical concepts and collaborate with cross-functional teams Experience with multilingual speech or language models Experience deploying audio models to server-side and/or on-device/edge environments Experience with evaluation frameworks and metrics for speech/language systems Advanced degree (MS or PhD) in Computer Science, Machine Learning, AI, Speech Processing, or a related technical fieldMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.