Software Engineering Manager - Wearables AI

The Wearable AI Team at Meta is seeking a technical leader to join our team and drive the development of next-generation AI experiences on smart devices. As a technical leader in the team, you will play a critical role in shaping the core AI technology that powers Meta's Smart Glasses and future generations of smart devices. We have the opportunity to build the next computing platform powered by the latest and greatest AI technologies. Building on the success of our Multimodal AI Assistant launch on Ray-Ban Meta Smart Glasses last year, we are now focused on creating a truly human-like Assistant that can see, hear, and assist users in the most seamless way possible.We are looking for a leader to accelerate our agentic AI plans and transform the way we approach AI development. The agentic paradigm represents a significant shift towards more adaptable, dynamic systems that can autonomously address unforeseen requests. By empowering agents to reason, plan, remember, and combine chains of tools, we aim to create new experiences that cater to a broader range of user needs, ultimately enhancing the appeal and utility of Meta's smart devices.

• Technical Leadership: Provide technical direction and guidance to the team, driving the development of next-generation AI experiences on smart devices.
• Cross-Functional Collaboration: Collaborate with cross-functional teams, including product management, design, research, and engineering, to seamlessly integrate research into production-ready systems, leading to the successful launch of new AI-based experiences.
• System Design: Design and develop end-to-end AI systems, ensuring scalability, reliability, and driving adoption across the organization.
• Research & Development: Conduct cutting-edge R&D in GenAI, LLMs and NLU/P/G, focusing on agentic systems, focusing on reasoning, planning, tool use, and agentic memory in constrained compute environments.
• Technical Adaptability: Stay up-to-date with the latest advancements in AI literature and technologies, adapting to new tools and frameworks as needed.
• Team Development: Develop and mentor team members, fostering growth and innovation.
• Effective Communication: Communicate complex technical information clearly and effectively to a broad set of stakeholders, including executives.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 3+ years of experience managing teams of research scientists, applied scientists, and machine learning engineers, with a proven track record of leading high-performing teams in the development and implementation of AI technologies.
• Applied research and production experience in one or more of these areas: NLP/NLU/NLG, IR, GenAI, RL, Personalization, Agents, Deep Learning
• 3+ years of experience with development and implementation of LLM algorithms/systems and pre-post- training
• 5+ years of hands-on experience with deep learning

• MSc or PhD in machine learning, computer science, electrical engineering, computational neuroscience, statistics, or related fields
• First author publications in AI conferences like ICLR, ICML, NeurIPS, ACL, AAAI, EMNLP, CVPR, MLSys etc
• Research and production experience in one or more of the following: agentic AI, reinforcement learning, LLM alignment, agentic memory and personalization
• Experience with inference and memory optimization, quantization, and/or sparsity
• Experience with popular agentic AI frameworks, e.g. AutoGen, LangGraph, LangChain, etc