Meta AR/VR Job | Research Engineer – Detection Services
Job（岗位）: Research Engineer – Detection Services
Type（岗位类型）: Engineering
Citys（岗位城市）: Pittsburgh, PA
Date（发布日期）: 2022-1-7
Summary（岗位介绍）
Facebook Reality Lab Research is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At the lab, we aspire to 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.
You are comfortable developing backend services, CLIs, database schemas, and the tools to support them. You are familiar with how to define interfaces and libraries used by other developers. Occasionally you can create Web UIs. You understand contemporary software design and engineering practices and you write high quality, robust code. You are motivated by building the tools and infrastructure needed to rapidly define, train, and iterate on new types of machine learning models. You thrive in a fast-paced, multidisciplinary environment, working closely with researchers and data annotators to determine requirements, improve quality, and speed up execution.
At Facebook Reality Lab Research you will join a world-class team exploring optics, haptics, tracking, displays, computer vision, user experience, audio, and perceptual psychology. Every day, you will work alongside expert Research Scientists, Mechanical Engineers, Electrical Engineers and Software Engineers to create the technology that will make VR and AR pervasive and universal.
Join the adventure of a lifetime, as we invent the future and change the world.
Qualifications（岗位要求）
Bachelor of Science (or equivalent) in Computer Science or a related field
Experience with Python/Jupyter
5+ years of software development experience
3+ years of web development experience (Flask/Django/ExpressJS or similar)
Experience with SQL databases
Experience with scripting languages
Proven track record of shipping software
Experience with software development practices such as source control, code reviews, unit testing, and debugging
Experience with Linux and command line utilities
Collaborator with communication experience across teams of varying knowledge of components
Description（岗位职责）
Develop data pipelines to generate assets used for collecting annotations and developers who use the resulting datasets.
Automate training and evaluation of machine learning models on different types of data. Collaborate with researchers to determine what data to collect and annotate.
Support researchers in training new models and automating workflows.
Collaborate with users to understand usability issues and develop solutions.
Collect usage metrics and develop features to improve developer/research experience.
Develop tests and processes to ensure software stability and correctness.
Additional Requirements（额外要求）
Experience with NumPy/OpenCV/PIL
Experience with SQLAlchemy or similar
Experience with machine learning (PyTorch, TensorFlow or similar)
Comfort with 3D math and linear algebra
Experience with RPC frameworks (Thrift or similar)
Experience developing and managing large-scale distributed systems
Experience with PHP or Hack
Experience with ReactJS, JavaScript, Flow, or TypeScript
