Software Engineer, Machine Learning

Software Engineer, Machine Learning
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Singapore
Facebook is seeking Lead/Senior machine learning engineers to join our engineering team. They will have industry experience working on a range of classification, recommendation and searching problems, e.g. issue detection, recommendation systems, search ranking, flow optimization. The position will involve taking these skills and applying them to build a solution system to help businesses on Facebook to address issues with using our product. They will bring the ability to own the whole Machine Learning life cycle, define strategy and projects, and drive excellence across teams.
Software Engineer, Machine Learning Responsibilities
  • Consistently advance the state of Machine Learning for your problem, including setting and executing against roadmaps for 6-month+ timeframes and influencing business and product strategy.
  • Define projects for other engineers to solve and achieve impact based on your direction.
  • Own the full Machine Learning life cycle (https://research.fb.com/the-facebook-field-guide-to-machine-learning-video-series/) for a significant new product, including production quality.
  • Code deliverables in tandem with the engineering team
Minimum Qualifications
  • PHD in Computer Science with 3+ years or Masters in Computer Science with 7+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
  • Proven ability to translate insights into business recommendations
  • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
  • Expert knowledge in building and training machine learning models or developing production level Machine Learning products in Java, C++ or Python
  • Expert with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience developing and debugging in Java, C++ or similar
  • Experience of demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.
Preferred Qualifications
  • MS degree in Computer Science or related quantitative field with 5+ years of machine learning related work or research, or PhD degree in Computer Science or related quantitative field
  • Experience with filesystems, server architectures and distributed systems
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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 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.