Meta - Boston, MA

posted 2 months ago

Full-time - Mid Level
Remote - Boston, MA
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 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 be responsible for researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software tailored for massive social data and prediction challenges. Your role will involve tackling a variety of ranking, classification, recommendation, and optimization problems, such as payment fraud detection, click-through or conversion rate prediction, and collaborative filtering. You will work on developing highly scalable systems and algorithms, leveraging deep learning, data regression, and rules-based models to enhance efficiency and performance. In this position, you will be expected to analyze and synthesize requirements, identify bottlenecks in technology and systems, and develop innovative solutions that significantly improve efficiency. You will collaborate closely with the engineering team, coding deliverables under general supervision, and adapting standard machine learning methods to optimize performance in modern parallel environments, including distributed clusters and GPU setups. This role 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 significantly improve efficiency and leverage large datasets using state-of-the-art deep learning techniques.
  • Collaborate with the engineering team to deliver code under general supervision.
  • Adapt machine learning methods to exploit modern parallel environments effectively.

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 software development tools like VIM or Emacs, and revision control systems like Subversion, GIT, or Perforce.
  • Experience with Linux, UNIX, or other *nix-like operating systems.
  • Ability to build highly-scalable performant solutions and apply algorithms to real-world systems.

Benefits

  • Bonus
  • Equity
  • Comprehensive health benefits
  • Flexible work arrangements
  • Professional development opportunities
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