Applied Scientist, Ml and Forecasting
vor 1 Woche
PhD degree in computer science, operations research, statistics, engineering, or mathematics
- 3+ years of experience in the field with a proven track record (PhD studies count of course)
- Experience with fast prototyping
- Experience with object oriented languages and efficient low level coding
- Experience working effectively with software engineering teams
Job summary Amazon AI is looking for world class scientists to join its AI Lab. This group is entrusted with developing core machine learning algorithms for AWS and Amazon Fulfillment Technology primarily around the time series domain. As a part of the AI Lab you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore novel solutions to new problems at scale. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for Amazon. We use both deep learning and probabilistic methods to solve exciting problems which require new methods more often than not. Key job responsibilities We bring time series forecasting models to internal customers at Amazon scale. This requires working closely with business stakeholders and engineering teams, researching and developing science solutions, bringing these solutions to production, and operating them. Additionally, you will have the opportunity to publish your work and commit to open source projects. About the team The ML and Forecasting team is part of AWS AI Labs, supporting several internal and external services in the area of time series modeling, with particular focus on forecasting (Labor Planning, Sagemaker DeepAR, and GluonTS) and anomaly detection (Amazon DevOps Guru). The team also collaborates closely with the science teams supporting services in related areas, such as Amazon Forecast and Amazon Lookout for Metrics.
Your position will require you to:
- Be an active member of a software development team.
- Improve and accelerate our technology with science, statistical modeling, algorithm design, and prototyping.
- Maintain an understanding of industry and technology trends in said area of research.
- Contribute to Amazon's Intellectual Property through patents and/or external publications.
- Understand business context to decisions made within and across groups.
- Effectively communicate with senior management, colleagues, the open source community, and academia.
- Recognize and help hire top talent in your field.
- Mentor others in achieving their career growth potential.
- Drive an independent research agenda that is well-aligned with business needs.
- Excellent written and verbal communication skills
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