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Research Scientist, Mixed Reality and Computational Photography
2 months ago
We are seeking a skilled research software engineer to develop world-leading mixed reality technologies. The focus of this role is on 3D computational photography, and neural scene capture, reconstruction, and rendering.
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
- 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
- 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
Oculus 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, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Oculus 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 .
