Research Scientist Manager - Neuromotor Interfaces
Burlingame, CANew York, NY • Full Time
Meta
AI Research
Engineering
Research
Meta is seeking a Research Scientist Manager with expertise in product-focused signal processing and sensor development to help us create novel wearable devices and algorithms that will become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. Our team uses machine learning and statistical signal processing tools to advance our pioneering work building a practical, non-invasive wearable device that draws on rich neuromotor signals. We are a multi-disciplinary group of researchers and engineers who work closely with partner hardware, algorithms, and user experience teams to model and understand real-world use cases, set requirements for hardware performance, and develop software strategies to improve signal quality and product performance.
Research Scientist Manager - Neuromotor Interfaces Responsibilities
  • Lead a team of research scientists and research engineers to deliver high-quality products and solutions
  • Manage career guidance for the team through regular feedback and tracking performance
  • Collaborate with cross functional teams including hardware, machine learning research and engineering teams to develop scalable systems to characterize sensor performance and their impact on product features
  • Develop scalable methodologies and tools to simulate biophysical signals and their approximations
  • Explore methods to improve ML models for product features by incorporating knowledge of sensor performance limitations
  • Develop and implement engineering strategies to achieve product development targets
  • Foster a work environment of continuous learning, growth and improvement
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. in machine learning, AI, computer science, electrical engineering, statistics, applied mathematics, data science, signal processing, optimization or related technical fields
  • 4+ years of experience after PhD in related industry R&D setting
  • Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals
Preferred Qualifications
  • Experience with human-in-loop sensor/wearable biosensor development in consumer hardware space (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc)
  • Proficiency with quantitative/statistical methods
  • Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem)
  • Experience collaborating with multiple interdisciplinary and/or cross functional teams
  • Demonstrated experience in managing technical teams including performance management
For those who live in or expect to work from California if hired for this position, please click here for additional information.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$177,000/year to $251,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .


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