- Master’s degree in a quantitative field or equivalent contribution and experience in Computer Science, Machine Learning, Applied Mathematics or related field
- 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
- Able to work in a diverse team
The EC2 Placement Team in Cape Town is looking for an Applied 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.
As an Applied Scientist on the team, you will be a thought-leader in our space, applying state of the art methodology to real-world business problems. Working closely with the Software Development Engineers on our team, you will build and deploy the next generation of algorithms to optimize instance placement, all of which needs to work at the incredible scale required by EC2.
On any given day we use Python, Java, Ruby or SQL as well as various Native AWS services and Amazon-internal tools. We don’t expect you to be an expert in, or know all these technologies, but we do expect you to have strong programming fundamentals and be excited to learn about these technologies.
If this opportunity sounds interesting, we would love to talk to you more about our work and the vibrant culture at AWS in Cape Town.
- PhD degree in a quantitative field or equivalent contribution and experience in Computer Science, Machine Learning, Applied Mathematics or related field
- Experience working with large-scale distributed systems and data infrastructure
- Experience in training co-workers
- Project management experience desired for working on cross-functional project
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.