Job Information
Meta Platforms, Inc. Software Engineer, Machine Learning in New York, New York
Company: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Software Engineer, Machine LearningJob Code: REQ-2403-135094Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $182,608/year to $200,200/year+ bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.Duties: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. 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).Requirements:Requires a Bachelor’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Machine Learning Framework(s): Caffe2,PyTorch, MXNet, or Tensorflow; 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems; 3. Translating insights into business recommendations; 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark; 5. Developing and debugging in C, C++, and Java; 6. Scripting languages: Perl, Python, PHP, or shell scripts 7. C, C++, C#, or Java; 8. Python, PHP, or Haskell; 9. Relational databases and SQL; 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce); 11. Linux, UNIX, or other *nix-like OS including file manipulation and simple commands; 12. Distributed systems including sharding, consistency, and availability; 13. Building highly-scalable performant solutions; 14. Data structures and algorithms.
Minimum Salary: 182,608 Maximum Salary: 200,200 Salary Unit: Yearly