AI Research Scientist - Speech and Language

Meta • Redmond, WA

6d

About The Position

Reality Labs Research is Meta’s innovation engine for next-generation AR/VR, AI, and wearable technologies. Our Audio team pioneers research and development at the intersection of sound, machine learning, and human experience—enabling new ways for people to connect, communicate, and collaborate. We are seeking a technically skilled GenAI scientist to join our team focused on Large Language Model (LLM) agents and model post-training, with a particular emphasis on speech and language processing. This role will be close to product applications and user impact, requiring full-stack knowledge. You will be a technical leader supporting research and product development for AI wearables as part of Meta’s Superhuman Communication & Connection initiative. Your work will focus on building and optimizing ML infrastructure, including data pipelines, model training, evaluation, and validation—leveraging both companywide platforms and developing custom developed project-specific tools. By joining our team, you will have the opportunity to work on breakthrough technologies that redefine how people connect and communicate, collaborate with world-class researchers and engineers in a fast-paced, mission-driven environment, and shape the future of AI wearables and superhuman audio experiences.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
• Demonstrated programming skills in Python and familiarity with large-scale distributed training
• Familiarity to learn new programming languages quickly
• Can design, implement, and evaluate RL algorithms in production or research settings
• Problem-solving, communication, and collaboration skills

Nice To Haves

• Experience with Reinforcement Learning from Human Feedback, reward modeling, or other Large Language Model post-training techniques
• Experience working in cross-functional teams
• Track record of publications or contributions to open-source projects in LLMs, RL, or related areas
• Familiarity with safety, alignment, and evaluation challenges in generative AI
• Experience with speech encoding, decoding and synthesis
• Experience with natural language processing systems

Responsibilities

• Design, implement, and optimize LLM-based agents for a variety of applications, leveraging the latest advances in generative AI
• Apply reinforcement learning algorithms to improve LLM performance, safety, and alignment
• Integrate models and orchestrations in production
• Collaborate with cross-functional teams (research, engineering, product) to deploy and evaluate LLM agents in real-world scenarios
• Analyze and interpret experimental results, iterate on model architectures, and drive continuous improvement
• Contribute to the broader AI/ML community at Meta through knowledge sharing, code reviews, and technical mentorship
• Lead and contribute to research and development of post-training methods, including RLHF (Reinforcement Learning from Human Feedback), reward modeling, and other feedback-based approaches
• Apply AI Models to Speech Encoding, Decoding, and Synthesis problems
• Develop Natural Language interaction systems

Benefits

• bonus
• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree