Job Description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

At Facebook Reality Labs (FRL), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are looking for a skilled and motivated Research Scientist to join our team, whose mission is creating the future of input and interaction for AR and VR. In this role, you will design and conduct analyses on electromyography and other experimental biosensor data to develop state-of-the-art neural interface and brain-computer interface (BCI) applications. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities. We want to work with bright and capable people that flourish in interdisciplinary collaborations and are passionate about developing new technologies that are genuinely useful.

Responsibilities

• Apply state-of-the-art methods for non-invasive physiological signal processing and analysis
• Collect, analyze, and manage complex multimodal physiological datasets
• Identify opportunities and employ quantitative research methods to define, iterate upon, and advance key areas of our research agenda around non-invasive physiological sensing systems
  

Minimum Qualification

• PhD in biomedical engineering, biophysics, neuroscience, electrical engineering, machine learning, statistics, or related discipline
• 3+ years experience in biomedical signal processing, machine learning, statistics and analysis
• Experience designing, debugging, and validating bioinstrumentation systems
• Experience with linear and non-linear approaches with modern statistical programming languages, e.g. Python, R, Matlab, PyTorch
  

Preferred Qualification

• 3+ years experience in biosignal analysis, biosignal processing, neural data analysis, machine learning or related areas for real-time biofeedback applications
• Demonstrated experience in human physiological measurement, human subjects research, and management of institutional review board documentation
• Experience working in a multi-disciplinary team spanning novel sensor hardware development through new machine learning solutions
• Experience with hardware prototype development, e.g. DAQs, microcontrollers
  

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.