<p>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.</p> <p>Minimum Qualifications</p> <ul> <li>Proven track record of leading research teams and delivering impactful results </li><li>Master's degree or PhD in Computer Science, Electrical Engineering, or a related field </li><li>2+ years of experience managing technical teams, including performance management </li><li>8+ years of experience in research and development in natural language processing, computer vision, generative AI, or related media technologies </li><li>Experience in LLM post-training, evaluation and optimization </li><li>Experience with large-scale systems and productization of research </li></ul> <p>Preferred Qualifications</p> <ul> <li>Prior experience in managing cross-functional or multi-disciplinary teams </li><li>Prior experience in building LLM foundation models </li><li>Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) </li><li>Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) </li><li>Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies </li></ul> <p>Responsibilities</p> <ul> <li>Lead and mentor a team of research engineers and scientists working on cutting-edge LLM technologies </li><li>Drive the strategy and execution of research initiatives in LLM response quality improvement </li><li>Collaborate with cross-functional teams to translate research breakthroughs into scalable products and solutions </li><li>Lead the development of new algorithms and systems for LLM post-training, evaluation and efficiency </li><li>Stay abreast of the latest advancements in AI, large language modeling and apply them to Meta's products </li></ul> <p>About Meta</p> <p>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.</p> <p>Equal Employment Opportunity</p> <p>Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.</p> <p>Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.</p>