Manager, Applied Science, RBS Tech

Amazon; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Amazon in Bengaluru is seeking an Applied Science Manager to design and deploy scalable GenAI, NLP and Computer Vision solutions impacting the content seen by millions of customers. You will lead a team of scientists and engineers, guide projects from ideation to production, and collaborate with cross-functional partners to solve complex problems with scientific innovation.

This role offers opportunities for publication and patent filings, with a strong focus on developing cutting-edge ML

Qualifications

• Master's or PhD with experience in ML, statistics, and deep learning.
• 5+ years applying ML to large-scale applications.
• 2+ years leading a team of scientists and engineers.
• Strong written and verbal communication and presentation skills.
• Proficient in Python, C/C++, and Java.

Responsibilities

• Design and deploy scalable GenAI, NLP, and CV solutions impacting millions of customers.
• Lead scientists and oversee research and development from exploration to production.
• Collaborate with business and engineering teams to solve complex problems requiring scientific innovation.
• Coach and mentor team members and contribute to their professional development.
• Encourage patent filings and publishing research when opportunities arise.

Skills

ML, NLP, Information Retrieval

Team leadership

Programming languages: Python, C/C++,

Communication skills

Education

Master's or PhD in ML/CS

Job description

Description

RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns).

As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision.

Key job responsibilities

As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will Lead scientists on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will create the environment in the team to file for patents and/or publish research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team.

Basic Qualifications

• Knowledge of ML, NLP, Information Retrieval and Analytics

• Master's degree, or a PhD and experience in machine learning, statistics, and deep learning

• 5+ years of practical work applying ML to solve complex problems for large-scale applications experience

• Experience with written and verbal communication and presentation

• 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java

Preferred Qualifications

• Experience building machine learning models or developing algorithms for business application

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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.