Meta - Columbia, SC

posted 2 months ago

Full-time - Mid Level
Remote - Columbia, SC
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., is at the forefront of building technologies that facilitate connections, foster communities, and enhance business growth. Since its inception in 2004, Facebook has revolutionized the way individuals interact. With the introduction of applications and services such as Messenger, Instagram, and WhatsApp, Meta has empowered billions globally. Currently, the company is transitioning from traditional 2D screens to immersive experiences, including augmented and virtual reality, to shape the future of social technology. As a Software Engineer specializing in Machine Learning, you will play a pivotal role in this evolution by researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software tailored for massive social data and prediction challenges. In this position, you will tackle a variety of ranking, classification, recommendation, and optimization problems, such as payment fraud detection, click-through or conversion rate prediction, and ads/feed/search ranking. You will be responsible for developing highly scalable systems and algorithms that leverage deep learning, data regression, and rules-based models. Your role will involve suggesting, collecting, analyzing, and synthesizing requirements while identifying bottlenecks in technology, systems, and tools. You will also be expected to develop solutions that significantly enhance efficiency and explore cutting-edge deep learning techniques. Working closely with the engineering team, you will receive general instructions from your supervisor and contribute to coding deliverables. Additionally, you will adapt standard machine learning methods to optimize performance in modern parallel environments, including distributed clusters and GPU setups. 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, data regression, and rules-based models.
  • Analyze and synthesize requirements and identify bottlenecks in technology, systems, and tools.
  • Develop solutions that significantly enhance efficiency and leverage large datasets using state-of-the-art deep learning techniques.
  • Collaborate with the engineering team to deliver code and solutions based on general instructions from supervisors.
  • Adapt standard machine learning methods for modern parallel environments, including distributed clusters and GPUs.

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.
  • Experience 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 programming languages including Python, PHP, or Haskell.
  • Familiarity with relational databases and SQL.
  • Experience with software development tools like code editors (VIM or Emacs) and revision control systems (Subversion, GIT, or Perforce).
  • Proficiency in Linux, UNIX, or other *nix-like operating systems, including file manipulation and shell scripting.
  • Ability to build highly-scalable performant solutions.
  • Knowledge of data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.
  • Experience applying algorithms and core computer science concepts to real-world systems.

Benefits

  • Bonus
  • Equity
  • Health benefits
  • Flexible work environment
  • Telecommuting options
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