Employer:                   META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Title: Machine Learning Engineer

Job Code:                    REQ-2405-136911

Job Location:             Bellevue, Washington

Job Type:                     Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday

Salary:                          $213,876/year to $240,240/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, such as 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-theart deep learning techniques. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. Collaborate with DevOps team to Develop and deploy machine learning models into production environments and ensure smooth operation of machine learning models in production. Work with data engineers to design and implement data pipelines for large-scale machine learning tasks. Collaborate with cross-functional teams to integrate machine learning models into larger systems. Participate in code reviews and ensure that all solutions are aligned with industry standards and best practices. Work with data scientists to analyze and interpret model performance metrics.

Requirements:

Requires a Master's degree in Management Information Systems, Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in the following:

Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow;

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

Translating insights into business recommendations;

Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark;

Scripting languages: Perl, Python, PHP, or shell scripts;

Python, PHP, or Haskell;

Relational databases and SQL;

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

Linux, UNIX, or other *nix-like OS as evidenced by file manipul