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Software Engineering Manager, AI for Wearables and Health.

Meta· Engineering
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Redmond, WA, Multiple locations$219k - $301kFull-timePosted 3w ago

About the role

Manager of research scientists and engineers focused on AI for wearables and health, shaping research strategy, translating findings into product features, and partnering across hardware, applied research, engineering, and product to deliver health and wellness outcomes at scale.

Responsibilities

  • Manage multiple teams of research scientists and engineers working on AI for wearables and health, including post-training, sensor fusion, and biometric modeling
  • Define and drive the research strategy and roadmap for AI-powered health and wearables experiences, setting goals informed by team insights, emerging health AI literature, and Meta's product priorities
  • Maintain technical engagement across teams by evaluating research and product direction and quality, contributing directly to experimental design, model architecture decisions for on-device deployment, and publication strategy
  • Partner cross-functionally with MSL, product, UXR, and data science teams to translate health and wearables AI advances into measurable improvements across Meta's devices
  • Recruit, develop, and retain research scientists and research leaders with expertise in health AI, wearable computing, physiological signal processing, and on-device machine learning
  • Proactively identify and resolve execution risks across research projects, including experimental bottlenecks, compute and power constraints for wearable devices, and alignment between research outputs and health product requirements
  • Champion a team culture that values scientific rigor, reproducibility, responsible AI practices, and privacy-conscious approaches to health data
  • Hold research leaders accountable for performance, scientific depth, and cross-functional engagement, providing consistent and constructive feedback
  • Communicate research priorities, trade-offs, and strategic implications clearly to leadership, maintaining a perspective on key advances in health AI and wearable computing

Qualifications

  • 8+ years of experience in machine learning research or applied machine learning, with depth in areas such as LLM mid/post-training, applied AI, wearable computing, or on-device machine learning
  • 4+ years of experience managing research or engineering teams, including experience managing other research leaders or technical leads
  • Experience driving research strategy and roadmap decisions across the full ML research lifecycle, from problem formulation and experimentation through publication and production impact
  • Experience partnering cross-functionally with hardware, engineering, product, and data science teams to translate ML research into measurable outcomes for consumer devices
  • Experience recruiting, developing, and retaining research scientists and building high-performing research teams

Skills

Required:Machine learning leadershipOn-device machine learningCross-functional collaboration

Benefits

  • Benefits information available at Meta’s benefits page (not enumerated here in the job description)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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