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

- **Company:** The Meta Game, Inc.
- **Location:** Hillsborough, CA, United States
- **Salary:** $219,000.0 - $301,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Engineering, Human-Computer Interaction, Machine Learning, Sensor Fusion, Signal Processing, Information Technology
- **Published:** October 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=41d953d3e21469d5

## About the Role

* 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, * Experience publishing AI, machine learning, or biosignal processing research in peer-reviewed venues such as NeurIPS, ICML, ICLR, IEEE EMBC, or similar venues
 * Experience leading research in one or more specialized domains, such as EMG signal processing, wearable computing, health sensors, human-computer interaction, or physiological signal analysis

## Description

* 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