• Software Engineer, Systems Machine Learning

    Meta (New York, NY)


    Summary:

    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.

    Required Skills:

    Software Engineer, Systems Machine Learning Responsibilities:

    1. Research, design, develop, build and test operating systems-level software, compilers, and network distribution software for large distributed components that run applications.

    2. Build new features and improve existing products.

    3. Work on problems of moderate scope.

    4. 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.

    5. Develop a strong understanding of relevant product areas, codebase, and/or systems.

    6. Demonstrate proficiency in data analysis, programming and software engineering.

    7. Produce high quality code with good test coverage, using modern abstractions and frameworks.

    8. 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.

    9. Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity.

    10. Actively seek and give feedback in alignment with company Performance Philosophy.

    11. Provide support to production systems and contribute to resolution of critical system issues.

    12. Collaborate with Machine Learning and Infrastructure engineers to improve proprietary AI accelerator software stack.

    13. Perform design and code reviews.

    Minimum Qualifications:

    Minimum Qualifications:

    14. Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.

    15. Requires completion of a university-level course, research project, internship, or thesis in the following:

    16. 1. Expert proficiency in C, C++

    17. 2. Expert proficiency in Python

    18. 3. Relational databases and SQL

    19. 4. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

    20. 5. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands

    21. 6. Core web technologies: HTML, CSS, or JavaScript

    22. 7. Building highly-scalable performant solutions

    23. 8. Distributed systems including sharding, consistency, and availability

    24. 9. Algorithms

    25. 10. GPU, CPU, or AI hardware accelerator architectures, AND

    26. 11. Developing deep learning training and inference frameworks like PyTorch, Caffe2, TensorFlow, ONNX, or TensorRT.

    Public Compensation:

    $154,192/year to $200,200/year + bonus + equity + benefits

    **Industry:** Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

     

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].