Research Engineering Manager - Meta SuperIntelligence Labs
Role summary
Meta SuperIntelligence Labs is seeking a Research Engineering Manager to lead a team focused on the next generation of Generative AI models, specifically LLMs for Meta's AI chatbot. The role involves driving applied research and development in LLM post-training, with a focus on model behavior and response quality. Responsibilities include strategic leadership, algorithm development, and collaboration with cross-functional teams to productize research breakthroughs. The position requires a Master's or PhD, 2+ years of technical team management, and 8+ years in relevant R&D fields like NLP or Generative AI.
Meta is seeking hands-on Research Engineering Manager to join the Meta SuperIntelligence Labs (MSL), making direct contributions to the next generation of Generative AI models. The MSL Assistant's team is building next generation LLM model for our Meta AI chatbot. This leader will drive applied research and development in the area of LLM post-training with a particular focus on model behavior research and improving response quality.
Research Engineering Manager - Meta SuperIntelligence Labs Responsibilities:
- Lead and mentor a team of research engineers and scientists working on cutting-edge LLM technologies
- Drive the strategy and execution of research initiatives in LLM response quality improvement
- Collaborate with cross-functional teams to translate research breakthroughs into scalable products and solutions
- Lead the development of new algorithms and systems for LLM post-training, evaluation and efficiency
- Stay abreast of the latest advancements in AI, large language modeling and apply them to Meta’s products
Minimum Qualifications:
- Proven track record of leading research teams and delivering impactful results
- Master's degree or PhD in Computer Science, Electrical Engineering, or a related field
- 2+ years of experience managing technical teams, including performance management
- 8+ years of experience in research and development in natural language processing, computer vision, generative AI, or related media technologies
- Experience in LLM post-training, evaluation and optimization
- Experience with large-scale systems and productization of research
Preferred Qualifications:
- Prior experience in managing cross-functional or multi-disciplinary teams
- Prior experience in building LLM foundation models
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta:
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 WhatsApp 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, 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.
$184,000/year to $257,000/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.