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.

• Manage a team of research scientists and software engineers, providing career guidance, regular feedback and tracking performance.
• Plan and direct cutting-edge applied research to define sensor performance requirements as well as characterize the dependencies between sensors and overall system performance.
• Collaborate closely with hardware, algorithms, and user experience research teams to develop performant wearable devices with integrated biosensors.
• Use quantitative research methods to define, iterate upon, and advance key areas of our research agenda.

• PhD in electrical engineering, mechanical engineering, physics, materials science, applied math, statistics, signal processing, control theory, or a related technical field
• Track record of research excellence as demonstrated by peer-reviewed publications
• 4+ years of experience after PhD in related industry R&D setting
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• 2+ years experience managing a team of research scientists

• Expertise in sensor characterization and requirement-setting, including use of numerical simulation and statistical signal processing methods
• Experience partnering with sensor hardware engineering teams
• Experience working with time-series data from sensor arrays, e.g. audio, physiological, radar, sonar, lidar, computer vision, medical imaging (like MRI or CT) or other signal modalities
• Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem)
• Experience with development of wearable biosensors (e.g. PPG, ECG, EMG, IMU)
• Experience with design and analysis of human-in-loop testing experiments