Applied Scientist
hace 12 horas
Job Summary:
We are seeking an Applied Scientist to join our Artificial General Intelligent team at Amazon. As an Applied Scientist, you will play a key role in advancing and deploying cutting-edge machine learning systems.
Key Responsibilities:
- Analyze and model customer behavior and the customer experience based on large-scale data.
- Build and measure novel online and offline metrics for personal digital assistants and customer scenarios.
- Create and innovate deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results.
- Build and deploy automated model training and evaluation pipelines.
- Perform model/data analysis and monitor metrics through online A/B testing.
- Research and implement novel machine learning and deep learning algorithms and models.
Requirements:
- PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning, or a related field.
- Experience building machine learning models or developing algorithms for business applications.
- Strong knowledge of programming languages such as Python or Java, with a focus on machine learning frameworks.
- Experience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
- Excellent communication skills and ability to collaborate effectively in a distributed, cross-functional team setting.
- Fluency in written and spoken English.
Preferred Qualifications:
- 5+ years of experience building machine learning models or developing algorithms for business applications.
- Publications at top-tier peer-reviewed conferences or journals.
- Track record of diving into data to discover hidden patterns and conducting error/deviation analysis.
- Ability to develop experimental and analytic plans for data modeling processes.
About Amazon:
Amazon is a leader in the technology industry, and our Artificial General Intelligent team is at the forefront of innovation. We are committed to providing unparalleled experiences for our customers and are seeking talented individuals to join our team.
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