Senior Research Scientist, AWS Incident Tooling & Response
Job ID: 2834651 | Amazon Development Centre Ireland Limited
AWS Resilience owns services to prevent and respond to availability and security issues for all AWS Services. We're the people who keep the cloud running. We work on challenging problems, with constant new services and possible failure modes to prevent.
You'll join a diverse team of software, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to deliver the highest standards for safety and security and availability.
AWS Incident Response is at the heart of high availability of Amazon Web Services. We make customer impacting events shorter and less frequent by driving large scale event and incident response.
Key Job Responsibilities
* Owning organisation strategy relative to usage of ML, GenAI, and proposing best technology to advance ability to detect, root cause, and correlate prior incidents to shorten customer facing AWS incidents.
* Contributing to shortening incident response through deep analysis and introduction of new technology.
Basic Qualifications
* Masters degree (or European advanced degree equivalent) or PhD in Computer Science, or related technical, math, economics, or scientific field.
* 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 ability to invent, track record of thought leadership and contributions that have advanced the field.