Research Scientist, Wearables AI

Responsibilities

• Collaborating with hardware and machine learning teams to define sensor performance requirements as well as characterize the dependencies between sensors and overall system performance
• Exploring and designing new sensing architectures and characterizing their impact on the downstream ML models and their requirements
• Building simulation tools and using them to explore sensor performance
• Developing methodologies and tools to simulate biophysical signals and their approximations

Requirements

• 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
• Record of publication demonstrating research excellence
• 6+ years of experience in signal processing, machine learning, or sensor development in an industry R&D setting
• Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB)

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
• Record of publication demonstrating research excellence
• 6+ years of experience in signal processing, machine learning, or sensor development in an industry R&D setting
• Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB)

Preferred Qualifications

• Experience working in consumer hardware engineering
• Experience building user interaction systems and/or working in human-computer interaction
• Experience shipping consumer hardware products at large scale
• Demonstrated experience of statistical signal processing skills
• Statistically grounded design of test methods for evaluating sensor hardware performance in lab and factory (e.g. aggressor studies and simulations, hardware phantoms)
• Experience with human-in-loop sensor development (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc)
• Experience defining research/technical direction for a team and to support the work of a small group of researchers toward those goals

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.

Compensation

$184,000/year to $257,000/year + bonus + equity + benefits