Senior Research Scientist, AWS Incident Tooling & Response
You will be part of a diverse team of software and security experts who work on the most challenging problems in the cloud. Our goal is to prevent and respond to availability and security issues for all AWS Services.
As a Senior Research Scientist, you will own the organization strategy relative to the usage of Machine Learning (ML), Generative Artificial Intelligence (GenAI) and propose the best technology to advance our ability to better detect, faster root cause, and correlate to prior incidents to shorten customer facing AWS incidents.
Your work will enable us to identify gaps in our current strategy, learnings from past incidents. You will contribute to shortening incident response through deep analysis and introduction of new technology.
Key Responsibilities:
* Owning the organization strategy relative to the usage of ML, GenAI
* Proposing the best technology to advance our ability to better detect, faster root cause, and correlate to prior incidents
* Enabling the identification of gaps in our current strategy and learnings from past incidents
* Contributing to shortening incident response through deep analysis and introduction of new technology
BASIC QUALIFICATIONS:
* Masters degree or PhD in Computer Science, related technical field or scientific discipline
* Several years of relevant experience in developing large scale machine learning or deep learning models and/or systems in a production environment
* Experience in using Python, R or Matlab or other statistical/machine learning software language
* Several years experience specifically with deep learning (e.g., CNN, RNN, LSTM, etc.)
* Experience hiring or mentoring more junior colleagues
PREFERRED QUALIFICATIONS:
* PhD degree in computer science, engineering, mathematics, economics, or related technical/scientific field
* Hands on experience building models with deep learning frameworks like PyTorch, or similar
* Experience with machine learning, time series, NLP and CV solutions
* Proven communication skills, presentation skills, and attention to detail
* Comfortable working in a fast paced, highly collaborative, dynamic work environment
* Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
About Amazon:
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.