Meta is seeking an Engineering 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.

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
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience with sensors, wearables development in consumer hardware space (e.g. biosensors or novel input devices such as electrocardiography (EKG/ECG), photoplethysmography (PPG), capacitive sensing, electromyography, etc)
Experience defining technical direction for a team and supporting the work of the team towards those goals
Experience with mentoring individual technical contributors

Preferred Qualifications

MS/PhD 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
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

Learn more about this Employer on their Career Site

Software Engineering Manager - EMG Signal Validation