Machine Learning Engineer, Scalable Systems

4 days ago


Singapore FACEBOOK SINGAPORE PTE. LTD. Full time

Meta is transforming its business and technology in a significant way, with Machine Learning teams at the forefront of this evolution. By taking on critical projects that have never been done before, you can help shape the future of how people connect around the world.

We approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together complex platforms to build models that leverage massive amounts of data. Our research and production implementations incorporate innovations from Meta's research in Distributed Computing, Artificial Intelligence, and Databases, running on the same hardware and network specifications as the Open Compute project.

As a Machine Learning Engineer at Meta, you will bring experience working on recommendation, classification, and optimization problems. You will own the entire ML life cycle, define projects, and drive excellence across teams. You will work alongside leading engineers and researchers to solve massive social data and prediction problems.

Key Responsibilities
  • Develop highly scalable classifiers and tools using machine learning, regression, and rules-based models.
  • Suggest requirements, collect and synthesize them, and create effective feature roadmaps.
  • Build strong partnerships with the engineering team, delivering code and solutions.
  • Adapt standard machine learning methods to exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU).

You must have a PhD degree or be completing a postdoctoral assignment in Computer Science, Computer Vision, Machine Learning, or a relevant field. Experience with programming languages like Python and scripting languages like JavaScript or Hack is also required.

Additionally, you should have research and/or hands-on experience in machine learning, NLP, recommendation systems, pattern recognition, data mining, or artificial intelligence. Using frameworks like PyTorch or TensorFlow is preferred.

We offer a competitive salary, estimated to be between $140,000 and $250,000 per annum, depending on your qualifications and experience. We prioritize hiring talented individuals who can contribute significantly to our mission.



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