Job Description

Our team is the Facebook AI Research (FAIR) computer vision engineering team. Our team's mission is to be at the forefront of computer vision research and technology. We do this in several ways, by partnering with research scientists and conducting state-of-the-art research, by producing open source tools and platforms to make research reproducible and accessible, and by partnering with production Facebook teams to make sure that cutting-edge research becomes cutting-edge AI infrastructure and products.

Research Engineer, Computer Vision (University Grad) Responsibilities

* Develop highly scalable algorithms based on machine learning and neural network methodologies.

* Collaborate with Facebook AI Research (FAIR) scientists to facilitate research that enables learning the semantics of data (images, videos, audio).

* Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.

* Analyze, process, and annotate large datasets for use in the training and evaluation of AI systems for use in both research and production tasks.

* Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).

Minimum Qualifications

* Currently has or in the process of obtaining PhD or BS/MS in computer science or related field and 2+ years of experience in Computer Vision and Artificial Intelligence.

* Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.

* Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

* 1+ year(s) experience in a software engineering role with emphasis on machine learning and Computer Vision.

* Research experience in machine learning, computer vision, or the ethical use of AI.

* Experience building systems based on machine learning (especially deep learning) methods.

* Experience using frameworks like PyTorch, Caffe2, Tensorflow, Keras, and/or Chainer.

* Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming.

Locations

About the Facebook company

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.

Facebook is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or who are neurodivergent, and to candidates with sincerely held religious beliefs or requiring pregnancy related support. If you need support, please reach out to accommodations-ext@fb.com.