Job Information
Meta Platforms, Inc. Machine Learning Engineer in New York, New York
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Machine Learning EngineerJob Code: REQ-2404-135421Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $236,903.00/year to $240,240.00/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:Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models. Suggest, collect and synthesize requirements and create effective feature roadmap. 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); work on a range of classification and optimization problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detention.Requirements:Requires a Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field and two years of work experience in the job offered or in a computer-related occupation. Requires two years of experience in the following: 1. Insights into business recommendations; 2. Hadoop/Hbase/Pig, Spark, or Mapreduce/Sawzall/Bigtable; 3. Developing and debugging in C/C++ and Java; 4. Scripting languages: Perl, Python, PHP or shell scripts; 5. Deep learning framework such as PyTorch and Tensorflow; 6. Developing machine learning algorithms for natural language processing applications; 7. Large-scale distributed training and real-time inference; and 8. Building end-to-end machine learning pipelines for offline and online experiments.
Minimum Salary: 236,903 Maximum Salary: 240,240 Salary Unit: Yearly