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

Meta· Artificial Intelligence
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Burlingame, CA$219k - $301kFull-timePosted 3mo ago

About the role

Lead architectural direction and technical leadership for large-scale AI systems powering Meta’s wearable devices, including on-device and cloud-based AI experiences with multimodal capabilities, focusing on power, latency, and compute constraints.

Responsibilities

  • 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
  • Define extensible technical foundations and cross-organizational standards for wearables AI model development, evaluation, and deployment pipelines across Meta's wearable device portfolio
  • 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
  • Evaluate emerging AI architectures and industry developments in wearables AI to identify opportunities and risks relevant to Meta's competitive position
  • Lead the design and implementation of multimodal AI systems for wearables, including vision, audio, and agentic capabilities, reliability, and real-time performance are critical
  • Identify where AI tooling and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across wearables engineering teams
  • Collaborate with research scientists to translate novel AI techniques into production wearables systems that deliver seamless, intelligent user experiences
  • Mentor engineers across the organization by providing customized technical coaching, leading architecture reviews, and establishing a culture of rigor for wearables AI development
  • 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
  • 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

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in software engineering with a focus on AI, LLM systems, or applied AI in production environments
  • Experience architecting and delivering large-scale AI, including training infrastructure, model serving, or foundation model pipelines
  • Experience leading multi-team technical initiatives end-to-end, including defining strategy, driving cross-functional alignment, and delivering measurable outcomes against organization-level goals
  • Experience identifying and resolving systemic engineering issues that span models, multiple systems or abstraction layers, including developing frameworks that prevent recurring classes of failures
  • Experience communicating complex AI designs and technical trade-offs in writing and presentations to both technical and non-technical audiences, including engineering leadership

Skills

Required:AI system architectureOmni LLM for wearablesMultimodal AIEngineering leadership

Benefits

  • Benefits information available via Meta Careers benefits page.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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