Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Responsibilities
Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run applications. Build new features and improve existing products. Work on problems of moderate scope. Push code, drive the development of the systems behind our products, create web applications that reach billions of people, build high volume servers, and be a part of a team to connect people around the globe. Develop a strong understanding of relevant product area, codebase, and/or systems. Demonstrate proficiency in data analysis, programming and software engineering. Produce high quality code with good test coverage, using modern abstractions and frameworks. Receive general instructions on routine work and detailed instructions on new projects or assignments, work independently, use available resources to get unblocked, and complete tasks on-schedule by exercising strong judgment and problem solving skills. Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity. Actively seek and give feedback in alignment with company Performance Philosophy. Develop Machine learning infrastructure to be used by other Machine Learning engineers to help build models. Design and develop systems that can help evaluate machine learning models. Develop infrastructure that can push Machine learning models to production following engineering best practices. Document the technology to help other machine learning engineers use the developed infrastructure.
Qualifications
Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field Position also requires completion of a university-level course/research project/internships/thesis, in the following: Coding in one of the following industry-standard languages: C, C++, C#, Python, Java, or Javascript Python, PHP, or Haskell Relational databases and SQL Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) Linux, UNIX, or other *nix-like OS including file manipulation and simple commands Building highly-scalable performant solutions Distributed systems including sharding, consistency, and availability, and Algorithms