Machine Learning Engineer

Machine Learning Engineer
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Menlo Park, CA
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, WhatsApp, and Novi 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. Instructions on how to apply, click “Apply to Job” online on this web page.
Machine Learning Engineer Responsibilities
  • Design core, backend software components, and code using primarily C/C++, Java, and PHP
  • Interface with other teams to incorporate their innovations and vice versa
  • Conduct design and code reviews, and analyze and improve efficiency, scalability, and stability of various system resources
  • Build large-scale server applications
  • develop and debug in C/C++ or Java/C#
  • Use knowledge of Perl, PHP or Python
  • and background working with software operating system internals, file systems, programming language design, and compilers to complete software engineering projects they are assigned to
  • Work on a range of classification and optimization problems, eg payment fraud, clickthrough rate prediction, click-fraud detection, search ranking, text/ sentiment classification, collaborative filtering/recommendation, or spam detection
Minimum Qualifications
  • Employer will accept a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 24 months of experience in the job offered or in a computer-related occupation. Experience must include 6 months of experience in each of the following:
  • Developing highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
  • Suggesting, collecting and synthesizing requirements and create effective feature roadmap
  • Coding deliverables in tandem with the engineering team
  • Adapting standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, or GPU)
  • Machine learning, recommendation systems, pattern recognition, data mining and/or artificial intelligence
  • Translating insights into business recommendations
  • Hadoop/Hbase/Hive or MapReduce/Sawzall/Bigtable
  • Developing and debugging in C/C++ or Java
  • Scripting languages such as Perl, Python, PHP, and shell scripts
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.