About the job
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.
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
Qualifications
Minimum
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
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