Applied Scientist, CMT

Amazon.com; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon in Bengaluru is seeking a seasoned ML scientist to contribute to the CMT team's evolution of Competitive Monitoring systems, tackling complex ML challenges at production scale and across recommender-style problems.

You will collaborate with ML engineers and researchers, write maintainable code, and share findings through technical writings and presentations to influence models in production and future research directions.

Qualifications

• Experience programming in Java, C++, Python.
• Experience with SQL and an RDBMS or Data Warehouse.
• Experience building machine learning models or developing algorithms for business applications.
• Experience in state-of-the-art deep learning architectures and training and 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

SQL

Machine Learning

Deep Learning

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 typical day might involve (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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.