Software Engineer, Systems Machine Learning

4 days ago

New York, New York, United States Meta Full time $120,000 - $200,000 per year
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 areas, 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. Provide support to production systems and contribute to resolution of
critical system issues. Collaborate with Machine Learning and Infrastructure engineers to improve proprietary AI accelerator software stack. Perform design and code reviews.

Qualifications
Bachelor's degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field Requires completion of a university-level course, research project, internship, or thesis in the following: Expert proficiency in C, C++ Expert proficiency in Python 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 Core web technologies: HTML, CSS, or JavaScript Building highly-scalable performant solutions Distributed systems including sharding, consistency, and availability Algorithms GPU, CPU, or AI hardware accelerator architectures and Developing deep learning training and inference frameworks like PyTorch, Caffe2, TensorFlow, ONNX, or TensorRT

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