• Senior Research Scientist
  • Amazon Web Services • Cape Town
  • Market Related
  • Permanent position in the Technology, Research sector
  • Posted by Amazon Web Services on Friday, July 31, 2020 Reference 1038264
  • Apply before: Tuesday, September 29, 2020 - 6 Days left


The EC2 Placement Team in Cape Town is looking for a Research Scientist to help us solve some of the most interesting problems in the Amazon Elastic Compute Cloud (EC2) space. The Placement Team is responsible for matching our customers' instance requests to physical servers in our data-centers. This is a multi-dimensional optimization problem with massive customer and business impacts, and an incredible opportunity to work on cutting-edge problems at significant scale, and to build and own novel optimization systems.

Responsibilities include:
· Drive development, deployment and management of models and systems to improve EC2's ability to match customer workloads with our compute infrastructure.
· Perform analysis and build prototypes, simulations and experiments to test hypotheses. Communicate findings persuasively in writing and verbally.

· Continually innovate and improve our analysis and implementation capabilities leveraging world-class infrastructure


· PhD or Master's degree in a quantitative field or equivalent contribution and experience
· At least 4 years of hands-on work experience in data science
· Experience with Python and tools/frameworks in the analytics/ML ecosystem (e.g. numpy, pandas, matplotlib, SciPy stack) and working in Jupyter notebooks
· Experience with SQL and working with large-scale data sets
· Knowledge and practical experience applying Machine Learning techniques
· Experience deploying and managing Machine Learning models into a high-scale production environment
· Practical experience with frameworks such as Pytorch, Keras, Tensorflow, caffe2, or mxnet.
· Excellent problem solving and analytical skills
· Excellent written and verbal communication skills


· Experience working with large-scale distributed systems and data infrastructure
· Experience working with AWS
· Experience in training co-workers
· Project management experience desired for working on cross-functional project

Companies may expire jobs at their own discretion.
If you have not received a response within two weeks, your application was most likely unsuccessful.

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