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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, Machine Learning Responsibilities:

1. Research, design, and develop machine learning systems for resource constrained environments such as mobile devices and AR/VR headsets.

2. Utilize low level programming, algorithmic optimization, and hardware acceleration to optimize the performance of the PyTorch machine learning framework across mobile hardware environments.

3. Apply deep neural networks to a variety of domains such as image object detection, image background segmentation, foundational language models, ads/feed/search ranking, and audio transcription to enrich user experience in Meta’s family of social media applications.

4. Apply GPU programming to enable acceleration of machine learning models via the mass parallelism offered by graphics processors.

5. Investigate and resolve performance bottlenecks in real-time machine learning workloads.

6. Design and implement moderate-sized software modules of the Pytorch machine learning library with a focus on achieving good software quality.

7. Apply GPU shader programming with Cuda, OpenCL, Vulkan and usage of CPU vector intrinsics to implement optimized mathematical functions that will be used to execute Pytorch machine learning models on mobile and edge (e.g.

8. VR headsets) devices.

9. Collaborate with team members

10. review code, delegate tasks, deliberate design reviews, etc.

Minimum Qualifications:

Minimum Qualifications:

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

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

13. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow

14. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems

15. 3. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark

16. 4. Scripting languages: Perl, Python, PHP, or shell scripts 5. C, C++, C#, or Java

17. 6. Python, PHP, or Haskell

18. 7. Relational databases and SQL

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

20. 9. Distributed systems including sharding, consistency, and availability

21. 10. Building highly-scalable performant solutions

22. and 11. Data structures and algorithms.

Public Compensation:

$229,501/year to $240,240/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].