Research Engineering Manager - Meta SuperIntelligence Labs
About The Position
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. 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.
Requirements
- Master's degree or PhD in Computer Science, Electrical Engineering, or a related field
- 8+ years of experience in research and development in natural language processing, computer vision, generative AI, or related media technologies
- 2+ years of experience managing technical teams, including performance management
- Proven track record of leading research teams and delivering impactful results
- Experience with large-scale systems and productization of research
- Experience in LLM post-training, evaluation and optimization
Nice To Haves
- Prior experience in managing cross-functional or multi-disciplinary teams
- Prior experience in building LLM foundation models
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
