<p>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.</p> <p>Qualifications: Requires a Bachelor's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 36 months of experience in the job offered or in a computer-related occupation. Experience must include 36 months involving the following: 1. C, C++, C#, or Java 2. Python, PHP, Perl, or Haskell 3. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) 4. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting 5. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction 6. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems 7. Proficient in managing memory bound infrastructure. Expertise in using tools like Valgrind, AddressSanitizer, gdb or similar tools to detect and fix memory leaks, buffer overflows, and other memory-related issues 8. Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships 9. Experience building and shipping high quality work and achieving high reliability 10. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes 11. Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement</p> <p>Responsibilities: Responsible for the design and implementation of scalable, highly available, and secure Machine Learning (ML) infrastructure. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Suggest, collect, and synthesize requirements and create effective feature roadmaps. Responsible for projects and/or small teams of people to help unblock issues and advocate for ML excellence.</p>