**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:** Senior Machine Learning Engineer Responsibilities: 1. Lead a team of engineers to build the recommendation product of Short Videos in Facebook Newsfeed, help them unblock, and advocate for ML excellence. 2. Architect, design, implement, and test large-scale distributed recommendation systems end-to-end (including inventory design, content retrieval, ranking stages, delivery, & ML infra) leveraging artificial intelligence, machine learning, deep learning, reinforcement learning, neural networks, data regression. 3. Develop ML models, ML systems, ML infrastructure and software applications using Python, C++, PHP, Hack, shell scripts, PyTorch, TensorFlow, Spark, Presto. 4. Adapt standard machine learning methods to best exploit modern parallel environments including distributed clusters, multi core SMP, and GPU. 5. Interface with 5+ cross-functional teams and partner teams of data scientists, product managers, frontend engineers, systems/infra engineers to collaborate on and launch cross-organizational projects. **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor’s degree (or foreign equivalent) in Information Technology, Computer Science, or related field and 1 year of experience in the job offered or in a computer-related occupation. 7. Requires 1 year of experience in the following: 8. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 9. 2. Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems 10. 3. Translating insights into business recommendations 11. 4. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark 12. 5. Developing and debugging in programming languages: C/C++, Java, Perl, Python, PHP, Haskell, and/or Shell Scripts 13. 6. Relational databases and SQL 14. 7. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands 15. 8. Building highly-scalable performant solutions 16. 9. Distributed systems including sharding, consistency, and availability and 17. 10. Data structures and algorithms 18. 11. Developing machine learning ranking models with Two Tower Sparse Neural Networks, Multi-Task Multi-Label Neural Networks, and ID-based Two Tower Models 19. 12. Recommendation and ML technologies including Collaborative Filtering, Maximal Marginal Relevance, and Determinantal Point Processes 20. 13. A/B testing and experimentation analysis **Public Compensation:** $222,772/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 accommodations-ext@fb.com.