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: Machine Learning Engineer Responsibilities: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. Work on problems of large scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. Suggest, collect, analyze and synthesize requirements and bottlenecks in technology, systems, and tools. Develop solutions that iterate with a higher efficiency, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques. Demonstrate strong engineering skills and require minimal guidance on engineering craft. Apply advanced machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Minimum Qualifications: Minimum Qualifications: Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics or related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 1.- Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2.- Machine Learning Algorithms and their applications: recommendation systems, computer vision, natural language processing, or data mining 3.- Translating insights into business recommendations 4.- Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark 5.- Deep Neural Networks 6.- Probability theory, Linear Algebra, Calculus, Data Analysis 7.- Understanding of agile methodologies such as: Scrum, Kanban 8.- Developing and debugging in C, C++, and Java 9.- Scripting languages: Perl, Python, PHP, or shell scripts 10.- Relational databases and SQL 11.- Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) 12.- Linux, UNIX, or other *nix-like OS including file manipulation and simple commands 13.- Distributed systems, including sharding, consistency, and availability 14.- Building highly-scalable performant solutions 15.- Data structures and Algorithms Public Compensation: $187,974/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 accommodations-ext@. #J-18808-Ljbffr