1+ months

Machine Learning Engineer - Facebook

Menlo Park, California

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Facebook is seeking a Machine Learning Engineer to join the Data Center Data Science Team. This team owns the data engineering, business intelligence, advanced analytics and software solutions for the entire Infrastructure Data Center organization. This is a full-stack backend and frontend development role using the latest technologies and frameworks in Python, PHP, JavaScript, React JS and Thrift, just to name a few. Prior knowledge in applied data science is a plus. Help build Facebook’s world class data centers & empower them with ML/AI driven tools in partnership with our core data science team to allow our facilities and sites to become autonomous and better serve over 2.5 billion people globally! This position is full-time and based in our Menlo Park office.

Responsibilities

  • Help plan, design, build and operate our data centers through automation of analytical software solutions, utilizing large volumes of mission-critical data to analyze trends, surface anomalies, optimize complex logistics & operations, as well as enable real-time ML & AI solutions, all while using the latest big data technologies, programming languages, frameworks and open-source libraries.
  • Develop and implement productivity software tools based on data analytics which allow our data center pre-ops and operations teams to be more efficient in planning, designing, building and operating the data centers.
  • Productionize in software the advanced analytics models (ML, AI & OR) built by the core data science team and integrate them with the Infrastructure Data Center operations.
  • Help scale and optimize our overall data center capacity by developing cutting edge tools which improve efficiency and bring automation to our data centers.
  • Partner with the operational & engineering teams in order to implement, verify and iterate on the analytical solutions being developed.

Requirements

Minimum Qualification

  • BS degree in Computer Science, Electrical Engineering, Operations Research or other technical field.
  • Experience in coding & scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration.
  • 1+ years experience working with a relational database.
  • 1+ years experience with object-oriented software development.
  • SQL experience in handling volumes of data and performance tuning.
  • System design (data modeling, BE Design) experience.
  • Interpersonal and communication experience.
  • Experience working with cross-functional teams.

Preferred Qualification

  • MS or PhD degree in Computer Science, Electrical Engineering, Operations Research or other technical field.
  • Experience in HDFS, Hive.
  • Experience in applied Machine Learning and productionize data science models.
  • Experience with big data and statistics.
  • Experience with algorithms and optimization.

Facebook is proud to be an Equal 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. Facebook 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]

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Posted: 2019-03-14 Expires: 2019-05-14

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Machine Learning Engineer - Facebook

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Menlo Park, California

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