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, WhatsApp, and Novi 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:

　　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, including payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.

　　Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.

　　Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.

　　Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.

　　Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.

　　Adapt standard machine learning methods to best exploit modern parallel environments (e.g.distributed clusters, multicore SMP, and GPU).

　　Minimum Qualifications:

　　Minimum Qualifications:

　　Bachelor's degree in Computer Science, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field. Requires 12 months of experience in a computer-related occupation. Requires 12 months of experience in each of the following:

　　Machine Learning Frameworks: PyTorch, MXNet, or Tensorflow

　　Machine learning, recommendation systems, ranking systems, computer vision, natural language processing, data mining, or distributed systems

　　Translating insights into business recommendations

　　Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark

　　Developing and debugging in C/C++ and Java

　　Scripting languages such as Perl, Python, PHP, or shell scripts

　　C, C++, C#, or Java

　　Python, PHP, or Haskell

　　Relational databases and SQL

　　Software development tools including Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)

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

　　Building highly-scalable performant solutions

　　Distributed systems including sharding, consistency, and availability.

　　Public Compensation:

　　$181,842/year to $194,000/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].