Meta - Dover, DE

posted 2 months ago

Full-time - Mid Level
Remote - Dover, DE
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, Meta is advancing beyond traditional 2D screens, venturing into immersive experiences like augmented and virtual reality, aiming to construct the next evolution in social technology. As a Software Engineer specializing in Machine Learning, you will play a pivotal role in this transformation 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 role, you will engage with a variety of ranking, classification, recommendation, and optimization problems, including payment fraud detection, click-through or conversion rate prediction, and spam detection. You will be tasked with developing highly scalable systems and algorithms that leverage deep learning, data regression, and rules-based models. Your responsibilities will also include analyzing and synthesizing requirements, identifying bottlenecks in technology and systems, and iterating on solutions to enhance efficiency and data utilization. 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 such as distributed clusters and GPUs. 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.
  • 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 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.
  • Knowledge of 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 such as Subversion, GIT, or Perforce.
  • Experience with 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, recognizing and matching patterns from different areas of computer science in production systems.
  • Experience with distributed systems.

Benefits

  • Competitive salary with bonus and equity options.
  • Comprehensive health insurance coverage.
  • Flexible work hours and telecommuting options.
  • Opportunities for professional development and career growth.
  • Access to wellness programs and resources.
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