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    Research Engineer - New York, United States - Meta Platforms, Inc.

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    Description

    Employer:
    META PLATFORMS, INC. (f/k/a Facebook, Inc.)

    Job Title:
    Research Engineer

    Job Code:

    REQ

    Job Location:
    New York, New York

    Job Type:

    Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $192,736/year to $200,200/year + bonus + equity + benefits.

    Individual pay is determined by skills, qualifications, experience, and location.

    Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable.

    In addition to base salary, Meta offers benefits.

    Learn more about benefits at Meta at this link:
    , design, develop, and test systems-level software, compilers, and network distribution software for massive prediction problems. Drive cutting edge research and development for EMG machine learning platform; create new AI models, tools and infrastructure that unlock the capabilities of Meta technology; productionize research results, and work with scientists, software engineers, hardware engineers and designers to advance the company's AI and AR/VR agenda. Address common challenges, long term needs across the science teams, and lead unification of common workstreams under uniform frameworks. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. Suggest, collect, analyze and synthesize requirements and bottlenecks in technology, systems, and tools. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Design methods, tools, and infrastructure to analyze and leverage rich multimodal data sets. Build tools to transition and deliver ML models from research into device-compatible implementations. Investigate and apply model reduction techniques (e.g., pruning, distillation, and quantization) to shorten research and the ML model to on-device timelines.


    Requirements:


    Requires a Master's degree in Computer Science, Data Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field.

    Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow; 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems; 3. Translating insights into business recommendations; 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark; 5. Developing and debugging in C, C++, and Java; 6.

    Scripting languages:
    Perl, Python, PHP, or shell scripts; 7. C, C++, C#, or Java; 8. Python, PHP, or Haskell; 9. Relational databases and SQL; 10. Build highly-scalable performant solutions; 11. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction; 12.

    Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems; 13.

    Distributed systems.

    Minimum Salary: 192,736
    Maximum Salary: 200,200

    Salary Unit:
    Yearly


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