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# Software Engineering Manager, AI for Wearables and Health.

- **Company:** The Meta Game, Inc.
- **Location:** Hillsborough, CA, United States
- **Experience:** Experienced
- **Salary:** $219,000.0 - $301,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Model Compression, Sensor Fusion, Signal Processing, Software Engineering, Large Language Models, Prompt Engineering, Wearables
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=098600b3c1b8a064

## About the Role

* 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, * Experience with on-device ML optimization, including model compression, efficient inference, and power-aware deployment for resource-constrained hardware
 * Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 * Experience managing teams working on applications of large language models in consumer tech
 * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 * Track record of publishing impactful research at top ML venues such as NeurIPS, ICML, ICLR, CHIL, or equivalents, and guiding teams to do the same
 * Experience adhering to and implementing responsible and ethical AI practices for health applications, including privacy protection, bias mitigation, and clinical validation considerations

## Description

* 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