Applied Scientist, CMT

Amazon; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Amazon is seeking a researcher for the CMT team to tackle ML, LLMs in production, and recommender systems at worldwide scale. You will research approaches, experiment rapidly, and collaborate with engineers to craft end-to-end solutions for business problems.

You'll work on product similarity, price recommendations, and contribute to production models, writing reusable, maintainable code and sharing findings via technical writings.

Qualifications

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
• Experience building machine learning models or developing algorithms for business application.
• Experience in state-of-the-art deep learning models architecture design and training/optimization.

Responsibilities

• Research the problem domain and come up with various approaches to solve the problem.
• Be willing to experiment quickly and fail fast.
• Collaborate with engineers to come up with the right end to end solution to the business problems.
• Ideate on future roadmap for science in CMT.
• Be willing to roll up your sleeves and learn core topics outside applied science, for example ML engineering.

Skills

Java

C++

Python

ML modeling

Deep learning

SQL

Tools

Oracle

Data Warehouse

Job description

As a member of the CMT team, you'll play a key role in the evolution of our Competitive Monitoring systems to solve significantly complex and interesting technical challenges in machine learning, large language models in production, and recommender systems to name a few. The team's work directly impacts customer experience at a worldwide scale.

Key job responsibilities

1. Research the problem domain and come up with various approaches to solve the problem.
2. Be willing to experiment quickly and fail fast.
3. Collaborate with engineers to come up with the right end to end solution to the business problems.
4. Ideate on future roadmap for science in CMT
5. Be willing to roll up your sleeves and learn core topics outside applied science, for example ML engineering

A day in the life

• (a) working on ideas for improving models around product similarity or price recommendations
• (b) working closely with other scientists and our ML engineers to ensure that the best models are in production
• (c) writing good maintainable code that can be reused and reproduced
• (d) sharing your work across CMT and beyond via technical writings and presentations

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
• Experience building machine learning models or developing algorithms for business application
• Experience in state-of-the-­art deep learning models architecture design and deep learning training and optimization and model pruning

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.