Research scientist - speech and language

Summary:

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.

Required Skills:

AI Research Scientist - Speech and Language 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

Minimum Qualifications:

Minimum Qualifications:

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

Preferred Qualifications:

Preferred Qualifications:

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

Public Compensation:

$184,000/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.