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Research Scientist, Machine Learning & Signal Processing [Technical Leadership]

Meta· Meta (Research)
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Hybrid (Burlingame, CA)$219k - $301kFull-timePosted 4d ago

About the role

Lead applied AI initiatives at the intersection of wearable technology and biosignal sensing. Define and drive the scientific agenda for a team of AI research scientists, computational neuroscientists, and ML engineers to advance next-generation wearable AI capabilities and health-focused experiences.

Responsibilities

  • Define and drive the research strategy and roadmap for an AI research team focused on wearables, EMG, and wearable sensors, balancing applied machine learning investments with product deliverables
  • Lead the development of novel AI architectures, training methodologies, and evaluation frameworks for EMG signal processing, sensor fusion, and wearable device intelligence
  • Establish technical direction for the team by identifying high-impact research problems in sensor signal interpretation and wearable AI, scoping projects, and aligning efforts to broader organizational priorities
  • Build and grow a high-performing team of AI researchers and engineers through hiring, mentorship, and structured development of research talent
  • Collaborate with product, engineering, and hardware partners to translate research breakthroughs in EMG and sensing into production wearable systems at Meta's scale
  • Drive promising research outcomes from research to production, ensuring innovative findings are successfully transitioned into scalable wearable products and features
  • Communicate research findings and strategic recommendations to organizational leaders and cross-functional stakeholders through written reports, presentations, and design reviews
  • Foster a team culture that values scientific rigor, engineering craft, and responsible AI development in alignment with Meta's values and compliance standards

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience in AI or machine learning research, including experience leading research teams or large-scale research programs
  • Experience establishing research strategy and roadmaps with demonstrated impact on AI systems or products at scale
  • Experience attracting, developing, and retaining research talent, including building leadership pipelines through internal development and external hiring
  • Track record of executing cross-functional AI research initiatives from ideation through deployment, including managing dependencies across engineering, product, and data science teams
  • Experience communicating complex AI research directions and technical decisions to both technical and non-technical audiences through written and verbal formats

Skills

Required:AI research leadershipSensor fusionCross-functional collaborationScientific communication
Nice to have:EMG signal processing

Benefits

  • bonus
  • equity
  • benefits (explicit in posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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