High Performance Search Relevance Scientist
7 hours ago
We are seeking strong applied scientists to join the newly formed Relevance India team. This team's charter is to increase the pace at which Amazon expands and improve the search experience at launch.
About the RoleThe Senior Applied Scientist will design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. We aim to invent universally applicable signals and algorithms for training machine-learned ranking models and improve the machine-learning framework for training and offline evaluation that is used for all new relevance models.
Key Responsibilities- Build machine learning models for Product Search with a focus on scalability and low latency.
- 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 road map. Work with engineers to make model predictions and scale the throughput of the system.
- Identify and solve customer problems with simple and elegant solutions.
- Design, develop, and implement production level code that serves billions of search requests.
- Collaborate with other engineers and related teams within A9.com and Amazon.com to find technical solutions to complex design problems.
- 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.
- Strong fundamentals on a broad set of ML approaches and techniques
- Strong interest in learning, researching, and creating new technologies with commercial impact
$143,000 - $223,000 per year (estimated)
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