Amazon Sr Applied Scientist Global Services Security - Office Innovation 

United States, Kansas 

879703931

Key job responsibilities
* Invent, implement, and deploy state-of-the-art machine learning algorithms and systems for information security applications.
* Lead collaboration with software engineering teams to integrate successful experiments into large-scale, highly complex production services.
* Experiment and report results in a scientifically rigorous way.
* Advance the state of the art through invention, patents, and external publications.
* Define and lead a long term research agendaDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- PhD or equivalent experience in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
- 5+ years of working knowledge of deep learning
- 5+ years of hands-on experience in predictive modeling and analysis
- 5+ years of algorithm development experience
- 5+ years of coding with at least one of the following: Java, C++, or other programming language; Additionally R, MATLAB, Python or similar scripting language

- Hands-on experience with a broad set of ML approaches and techniques - possibly including traditional classification and clustering, time series analysis, anomaly detection, artificial neural networks, and Bayesian non-parametric methods
- Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar. Prior experience training and fine-tuning Large Language Models (LLMs)
- 10+ years of relevant experience in industry and/or academia
- Authored peer-reviewed academic publications
- Extensive experience applying theoretical models to production applications
- 2+ years of experience with information security, threat detection or related domain
- Experience in production level software development including mechanisms such as CI/CD, agile development, infrastructure-as-code, containerization, serverless