Software Engineer, AI Specialist - Wearables AI (Technical Leadership)

**Summary:** Meta is seeking a distinguished software engineer with deep AI specialization to drive transformative technical initiatives for Wearables AI. In this role, you will define and lead the architectural direction of large-scale AI systems powering Meta's wearable devices — including smart glasses and next-generation wearable platforms. You will build intelligent on-device and cloud-based AI experiences spanning multimodal understanding, contextual assistants, and real-time interactive AI systems. This is a role for a technical leader who operates at the intersection of cutting-edge AI research and production-scale engineering, shaping both the systems and the culture that powers Meta's wearables AI future. **Required Skills:** Software Engineer, AI Specialist - Wearables AI (Technical Leadership) Responsibilities: 1. Identify and solve the most complex AI modeling and systems challenges for wearables, including architecting an omni LLM for wearables interactions, optimized for power, latency, and compute constraints 2. Define extensible technical foundations and cross-organizational standards for wearables AI model development, evaluation, and deployment pipelines across Meta's wearable device portfolio 3. Drive the technical vision and multi-year roadmap for Wearables AI platform capabilities, influencing priorities across teams and cross-functional partners including research, hardware, product, and data science 4. Evaluate emerging AI architectures and industry developments in wearables AI to identify opportunities and risks relevant to Meta's competitive position 5. Lead the design and implementation of multimodal AI systems for wearables, including vision, audio, and agentic capabilities, reliability, and real-time performance are critical 6. Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across wearables engineering teams 7. Collaborate with research scientists to translate novel AI techniques into production wearables systems that deliver seamless, intelligent user experiences 8. Mentor engineers across the organization by providing customized technical coaching, leading architecture reviews, and establishing a culture of rigor for wearables AI development 9. Partner with hardware, legal, policy, and compliance teams to ensure wearables AI systems meet privacy, security, and integrity standards for always-on, sensor-rich devices 10. Define new metrics and data-driven decision-making principles for long-term wearables AI initiatives, connecting technical outcomes to organization-level priorities and business impact **Minimum Qualifications:** Minimum Qualifications: 11. 12+ years of experience in software engineering with a focus on AI, LLM systems, or applied AI in production environments 12. Experience architecting and delivering large-scale AI, including training infrastructure, model serving, or foundation model pipelines 13. Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals 14. Experience identifying and resolving systemic engineering issues that span models, multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures 15. Experience communicating complex AI designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership **Preferred Qualifications:** Preferred Qualifications: 16. Contributions to peer-reviewed AI research (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, KDD) or demonstrated track record of translating research advances into production AI systems 17. Experience with large-scale Omni LLM training optimization, distributed training frameworks, or inference efficiency techniques such as quantization, distillation, or speculative decoding 18. Experience with conversational AI, vision understanding, wearables AI systems 19. Experience applying AI and automation tooling to eliminate categories of engineering toil and measurably improve team-level or organization-level engineering efficiency **Public Compensation:** $219,000/year to $301,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.