Meta - Augusta, ME

posted 2 months ago

Full-time - Mid Level
Remote - Augusta, ME
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 connect people, foster communities, and enhance business growth. Since its inception in 2004, Facebook has revolutionized social connectivity, and with the introduction of applications like Messenger, Instagram, and WhatsApp, it has empowered billions globally. Currently, Meta is advancing beyond traditional 2D screens, venturing into immersive experiences such as augmented and virtual reality, aiming to shape the next evolution in social technology. The Software Engineer, Machine Learning role is pivotal in this journey, focusing on the research, design, development, and testing of operating systems-level software, compilers, and network distribution software tailored for massive social data and prediction challenges. In this role, you will engage in a variety of tasks that include tackling ranking, classification, recommendation, and optimization problems across different domains such as payment fraud detection, click-through rate prediction, and collaborative filtering. You will be responsible for developing highly scalable systems and algorithms that leverage deep learning and data regression techniques. The position requires a proactive approach to identifying and analyzing technological bottlenecks, suggesting improvements, and iterating on solutions to enhance efficiency significantly. You will work closely with the engineering team, receiving guidance from your supervisor while contributing to the coding and development of deliverables. The role also emphasizes the adaptation of standard machine learning methods to optimize performance in modern parallel environments, including distributed clusters and GPU systems. With the flexibility to telecommute from anywhere in the US, this position offers a unique opportunity to contribute to cutting-edge technology in a dynamic and inclusive 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 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 and solutions 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 programming languages including Python, PHP, or Haskell.
  • Familiarity with relational databases and SQL.
  • Experience with software development tools like VIM or Emacs, and revision control systems such as 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.
  • Experience in data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction.
  • Ability to apply algorithms and core computer science concepts to real-world systems.

Benefits

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