Facebook Research Engineer, University Grad in Pittsburgh, Pennsylvania
Facebook Reality Labs is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At the Pittsburgh lab, we are working towards a vision of social VR and AR where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. As a Research Engineer at FRL Pittsburgh, you will be solving challenges at the forefront of computer vision and machine learning. You will as a bridge between world-class researchers and engineers, collaborating together on the innovation necessary to make that vision a reality. You will be expected to engineer solutions to problems in computer vision, audio processing, and machine learning. We want people who work well across disciplines, are excited about getting research prototypes to really work, and are excited to work in new technology areas.
In this role, you will develop new algorithms to reconstruct, track, and model human behavior. You will be expected to contribute in one or more of the following ways:
Work alongside researchers and SW engineers to develop algorithms for reconstruction, detection, tracking, and representation of human shape, appearance, and motion
Create baselines and evaluate performance of systems against them
Develop real-time systems for analyzing human behavior
Develop robust algorithms and systems for integrating multiple sensors and modalities
Attend computer vision conferences, publish and present papers in international conferences and journals
2+ years experience with C++
2+ years experience in CV/ML, & computer vision/machine learning libraries
Experience with machine learning, filtering, information theory, and 3D geometry
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- MS or PhD degree in Computer Science, Computer Vision, Machine Learning, or related field
Equal Opportunity: 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 firstname.lastname@example.org.