Senior Applied Scientist, Search Relevance International

Amazon; Bengaluru; Sur place; INR 3 500 000 - 6 000 000; Plein temps

Résumé du poste

Amazon’s Search Relevance team in Bengaluru seeks an experienced Applied Scientist to build ML models for Product Search, develop new ranking features, and deploy scalable production systems. You will work on end-to-end model development, from experimentation to A/B testing and deployment, collaborating with engineers to deliver fast, accurate search results for customers.

The role requires a strong background in machine learning, deep learning, and distributed systems, with 6+ years of

Qualifications

• 6+ years of building ML models for business applications.
• PhD or Master's degree required.
• Proficiency in Java, C++, Python or related languages.

Responsabilités

• Build machine learning models for Product Search.
• Develop new ranking features and techniques with latest research.
• Design, develop and deploy production-grade code serving billions of requests.
• Own the full development cycle from design to A/B testing and deployment.
• Collaborate with engineers and related teams to solve complex problems.
• Mentor teammates and drive high-quality execution on large projects.
• Focus on solving customer problems with scalable solutions.

Connaissances

Machine Learning

Java/C++/Python

Distributed Systems

Formation

PhD or Master's degree

Outils

Hadoop

Spark

TensorFlow

scikit-learn

MxNet

Description du poste

The Amazon Search team creates customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.

Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking a 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.

In practice, 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 job 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 hypothesis to direct our business and product road map. Work with engineers to make low latency model predictions and scale the throughput of the system.
• Focus on identifying and solving customer problems with simple and elegant solutions.
• Design, develop, and implement production level code that serves billions of search requests. Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment.
• Collaborate with other engineers and related teams within A9.com and Amazon.com to find technical solutions to complex design problems.
• Take ownership. Understand the needs of various search teams, distil those into coherent projects, and implement them with an eye on long-term impact.
• Be a leader. Use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large impossible-sounding projects.
• Be ambitious. Find and eagerly tackle hard problems.
• Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them. You will have access to the technologies and vast technical tools and resources of Amazon and will need to learn how to use them effectively.
• Be customer focused. Work backwards from customer problems, figure out elegant solutions, and implement them for speed and scalability.

Basic Qualifications

• 6+ years of building machine learning models for business application experience
• PhD, or Master's degree
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• 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.

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