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.

Come invent the future. Facebook Reality Labs Research (FRL-R) brings together world-class experts to develop next generation systems for virtual, augmented and mixed reality experiences. We are currently seeking a skilled research software engineer with a passion for technology to develop world-leading mixed reality technologies. The focus of this role is on 3D computational photography, and neural scene capture, reconstruction, and rendering. The position requires a combination of education and experience in 3D computer vision, computer graphics, and machine learning.

Responsibilities

• Implement highly scalable algorithms based on state-of-the-art machine learning methodologies
• Develop proof-of-concept prototypes for future mixed reality experiences
• Explore new algorithms for neural scene capture, reconstruction, rendering, as well as computational photography
• Collaborate with cross-disciplinary research and engineering teams in machine learning, computer vision and computer graphics
• Participate in cutting-edge research that results in industry-leading tech demos and/or publications
  

Minimum Qualification

• MS or PhD degree in the field of deep learning, computer vision, computer graphics, image processing, or related technical fields
• Demonstrated track record in ML algorithm development for 3D scene capture, reconstruction, and/or 3D computational photography
• Mathematical knowledge in linear algebra, numerical optimization, and probabilistic estimation
• 5+ years C++ experience with modern C++ features
• 3+ years of experience in at least one deep-learning software library (e.g., PyTorch, Caffe2, TensorFlow, or Keras), including: formulation, training, and evaluation of new algorithms and writing reusable modules
• 3+ years of experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
• 3+ years of experience working in a modern software development environment, including: unit testing, source control, and continuous integration
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  

Preferred Qualification

• Contributed (as the first author) to publications on machine learning for 3D computer vision or computer graphics, at leading workshops or conferences such as CVPR, ICCV, SIGGRAPH, NeurIPS, etc.
• Experience with deploying real-time ML systems in C++
• Broad understanding of the full machine vision pipeline from cameras to high-level algorithms
  

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.