Research Engineer, Conversational AI - Reality Labs

Research Engineer, Conversational AI - Reality Labs

Join to apply for the Research Engineer, Conversational AI - Reality Labs role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$85.10/year - $/year

Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device‑driven AI Assistant effort. We conduct focused research and engineering to build state‑of‑the‑art LLMs to fit on‑device and on‑server use cases. We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas such as language‑model evaluation;

data processing for pre‑training and fine‑tuning; responsible LLMs; LLM alignment; reinforcement learning for language‑model tuning; efficient training and inference; and/or multilingual and multimodal modeling. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results.

• Design methods, tools, and infrastructure to push forward the state of the art in large language models
• Define research goals informed by practical engineering concerns
• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
• Adapt standard machine‑learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Work with a large and globally distributed team
• Contribute to publications and open‑source efforts

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Research experience in machine learning, deep learning, and/or natural language processing
• Experience with developing machine‑learning models at scale from inception to business impact
• Programming experience in Python and hands‑on experience with frameworks such as Py Torch
• Exposure to architectural patterns of large‑scale software applications

• A PhD in AI, computer science, data science, or related technical fields
• First‑author publications at peer‑reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
• Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Direct experience in generative AI and LLM research

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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.

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 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. 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

$85.10/hour to $251,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Redmond, WA