Senior Applied Scientist
2 days ago
We are seeking a highly skilled Senior Applied Scientist to join our team at Amazon. The successful candidate will be responsible for building machine learning models for Product Search, developing new ranking features, and proposing hypotheses to direct our business and product roadmap.
Salary: $180,000 - $250,000 per year.
About You: To be successful in this role, you will need to have a PhD, or Master's degree and 6+ years of applied research experience. You should also have experience programming in Java, C++, Python or related language, as well as experience with neural deep learning methods and machine learning. Strong fundamentals on a broad set of ML approaches and techniques are essential. Experience with large scale distributed systems such as Hadoop, Spark etc. is also preferred.
Key Responsibilities:
- Build machine learning models for Product Search.
- Develop new ranking features and techniques building upon the latest results from the academic research community.
- Propose and validate hypotheses to direct our business and product roadmap. Work with engineers to make low latency model predictions and scale the throughput of the system.
Requirements:
- 3+ years of building machine learning models for business application experience.
- PhD, or Master's degree and 6+ years of applied research experience.
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
- Peer-reviewed scientific contributions in relevant field.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
About Us: Amazon is a global leader in e-commerce and cloud computing. We are committed to innovation and customer satisfaction, and we strive to create an inclusive and diverse workplace culture.
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