Apply on Employer Site

Meta · 17 hours ago

Research Scientist - Neuromotor Interfaces

New York, NY

Full-time

Onsite

Senior Level

$154K/yr - $217K/yr

Meta is seeking Research Scientists with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of neuromotor interfaces and augmented reality systems. The role involves collaborating with teams to define performance requirements and developing tools to simulate biophysical signals.

Computer Software

Comp. & Benefits

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 use them to explore sensor performance

Developing methodologies and tools to simulate biophysical signals and their approximations

Qualification

Machine LearningSignal ProcessingResearch-oriented Software EngineeringHuman-in-loop Sensor DevelopmentStatistical Signal ProcessingConsumer Hardware EngineeringUser Interaction SystemsPh.D. in Relevant FieldPublication Track RecordTeam Leadership

Required

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

Proven track record of publication demonstrating experience in research

Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB)

Preferred

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)

Statistically grounded design of test methods for evaluating sensor hardware performance in lab and factory (e.g. aggressor studies and simulations, hardware phantoms)

Demonstrated experience of statistical signal processing skills

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

Experience defining research/technical direction for a team and to support the work of a small group of researchers towards those goals