Meta - Richmond, VA

posted 2 months ago

Full-time - Mid Level
Remote - Richmond, VA
5,001-10,000 employees
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., is seeking a Software Engineer specializing in Machine Learning to join our innovative team. In this role, you will be responsible for researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software that addresses massive social data and prediction problems. You will work on a variety of ranking, classification, recommendation, and optimization challenges, such as payment fraud detection, click-through or conversion rate prediction, and ads/feed/search ranking. Your expertise will contribute to the development of highly scalable systems and algorithms that leverage deep learning, data regression, and rules-based models. As a Software Engineer, you will be expected to suggest, collect, analyze, and synthesize requirements while identifying bottlenecks in technology, systems, and tools. You will develop solutions that significantly enhance efficiency and explore state-of-the-art deep learning techniques. Collaborating closely with the engineering team, you will receive general instructions from your supervisor and deliver code that meets project specifications. Additionally, you will adapt standard machine learning methods to optimize performance in modern parallel environments, including distributed clusters and GPU systems. This position allows for telecommuting from anywhere in the US, providing flexibility in your work environment.

Responsibilities

  • Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
  • Work on a range of ranking, classification, recommendation, and optimization problems, such as payment fraud detection and click-through rate prediction.
  • Develop highly scalable systems, algorithms, and tools leveraging deep learning and data regression.
  • Analyze and synthesize requirements and identify bottlenecks in technology, systems, and tools.
  • Create solutions that iterate with higher efficiency and leverage large datasets effectively.
  • Collaborate with the engineering team to deliver code based on general instructions from the supervisor.
  • Adapt machine learning methods to exploit modern parallel environments.

Requirements

  • Master's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.
  • Three years of work experience in the job offered or in a computer-related occupation.
  • Experience with machine learning frameworks such as PyTorch, MXNet, or TensorFlow.
  • Proficiency in machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems.
  • Ability to translate insights into business recommendations.
  • Experience with Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark.
  • Proficiency in scripting languages such as Perl, Python, PHP, or shell scripts.
  • Experience with relational databases and SQL.
  • Familiarity with Linux, UNIX, or other *nix-like operating systems.
  • Experience in building highly-scalable performant solutions.
  • Knowledge of data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.

Benefits

  • Bonus
  • Equity
  • Comprehensive health benefits
  • Flexible work environment
  • Telecommuting options
  • Professional development opportunities
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