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Software Engineer (Leadership) - Machine Learning
Software Engineer (Leadership) - Machine Learning-May 2024
London
May 3, 2025
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
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About Software Engineer (Leadership) - Machine Learning

  Summary:

  Facebook is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

  Required Skills:

  Software Engineer (Leadership) - Machine Learning Responsibilities:

  Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient

  Effectively communicate complex features and systems in detail

  Understand industry & company-wide trends to help assess & develop new technologies

  Partner & collaborate with organization leaders to help improve the level of performance of the team & organization

  Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas

  Suggest, collect and synthesize requirements and create an effective feature roadmap

  Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

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

  Minimum Qualifications:

  Minimum Qualifications:

  Experience leading projects with industry-wide impact

  Vast experience communicating and working across functions to drive solutions

  Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision

  Experience in driving large cross-functional/industry-wide engineering efforts

  Significant experience in programming languages (Python, C++, Java, or R) with a technical background

  Significant experience in mentoring/influencing senior engineers across organizations

  Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence

  Preferred Qualifications:

  Preferred Qualifications:

  B.S. Computer Science or related technical field

  Experience in shipping products to millions of customers or have started a new line of product

  Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark

  Industry: Internet

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