• Applied Research Scientist

    Meta (Menlo Park, CA)


    Summary:

    Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

    Required Skills:

    Applied Research Scientist Responsibilities:

    1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.

    2. Have industry experience working on a range of classification and optimization problems, e.g.

    3. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.

    4. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.

    5. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.

    6. 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.

    7. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.

    8. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

    Minimum Qualifications:

    Minimum Qualifications:

    9. Bachelor’s degree (or foreign degree equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of experience in the job offered or in a computer-related occupation

    10. Experience must include 2 years of experience in the following:

    11. 1. Machine learning, recommendation systems, patterns recognition, data mining, artificial intelligence, or a related technical field

    12. 2. Experience with scripting languages such as Python, JavaScript, or Hack

    13. 3. Experience with developing machine learning models at scale from inception to business impact

    14. 4. Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

    15. 5. Developing large scale low-latency system for realtime decisions

    16. 6. Analyze user behavior and with big data analysis

    17. 7. Distributed data processing with Presto and Spark

    18. 8. Translating insights into business recommendations

    19. 9. Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Spark

    20. 10. Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

    Public Compensation:

    $218,068/year to $240,240/year + bonus + equity + benefits

    **Industry:** Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

     

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].