Meta - Cheyenne, WY

posted 2 months ago

Full-time - Mid Level
Remote - Cheyenne, WY
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 challenges. You will work on a variety of problems including ranking, classification, recommendation, and optimization, which are critical to enhancing user experience and business outcomes. Your contributions will directly impact our ability to process and analyze vast amounts of data efficiently, leveraging state-of-the-art deep learning techniques. As a Software Engineer, you will develop highly scalable systems and algorithms that can handle complex data sets and provide actionable insights. You will be expected to suggest, collect, analyze, and synthesize requirements while identifying bottlenecks in technology, systems, and tools. Your work will involve adapting standard machine learning methods to exploit modern parallel environments, such as distributed clusters and GPUs, ensuring that our solutions are not only effective but also efficient. This position allows for telecommuting from anywhere in the US, providing flexibility in your work environment. You will collaborate closely with the engineering team, receiving general instructions from your supervisor while delivering high-quality code and solutions that meet the needs of our users and stakeholders.

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.
  • Iterate solutions to achieve higher efficiency and leverage more data using state-of-the-art deep learning techniques.
  • Code deliverables in tandem with the engineering team, following general instructions from the supervisor.
  • Adapt standard machine learning methods to exploit 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 relational databases and SQL.
  • Familiarity with Linux, UNIX, or other *nix-like operating systems, including file manipulation and shell scripting.
  • Experience in building highly-scalable performant solutions.
  • Knowledge of 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

  • Bonus
  • Equity
  • Health benefits
  • Flexible work environment
  • Telecommuting options
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service