Amazon Web Services (AWS) is looking for an Applied Scientist to build the next generation of neuro-symbolic tools and services by combining Automated Reasoning and Machine Learning to solve complex problems and provide provable security and absolute assurance in the cloud.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Responsibilities
- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Machine Learning
- Apply software engineering best practices to ensure a high standard of quality for all team deliverables
- Design and implement scalable neuro-symbolic systems using automated reasoning and machine learning.
- Collaborate closely with internal and external users to understand their requirements for AI agents and guardrails.
- Proactively identify and explore new opportunities for deploying and leveraging neuro-symbolic solutions across various domains.
- Propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies.
- Support and scale your solutions to meet the ever-growing demand of customer use.
Other
- 5+ years of industry or academic research experience
- PhD
- You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff
- Deliver high-quality scientific artifacts
