Applied Scientist II, IN SPS Tech

Amazon Science

Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

3 days ago
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Job summary

Amazon Science in Bengaluru, India, is seeking a skilled machine learning professional to design, implement, test, and maintain innovative science solutions that accelerate business growth.

You will create experiments for learning algorithms, prototype new techniques, and collaborate with scientists, engineers, product managers, and stakeholders to deliver high-quality software solutions, with a focus on scalable, reliable systems.

Qualifications

  • Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
  • 3+ years of building machine learning models or developing algorithms for business application experience
  • 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in professional software development
  • Experience implementing algorithms using toolkits and self-developed code

Responsibilities

  • Design, implement, test, deploy, and maintain innovative science solutions to accelerate our business.
  • Create experiments and prototype implementations of new learning algorithms and prediction techniques
  • Collaborate with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems
  • Use best practices to ensure a high standard of quality for all of the team deliverables

Skills

ML modeling
Software development
Algorithms & data structures

Education

Master's degree in engineering, technology, CS, ML, robotics, OR, statistics, math
PhD in relevant field

Tools

Java
C++
Python

Job description

Description

Amazon’s Marketplace business is one of the largest in the world operating in 23 countries. Amazon Marketplace enables millions of Sellers worldwide to list hundreds of millions of products and manage orders for inventory across dozens of different categories and languages.

Description

Amazon’s Marketplace business is one of the largest in the world operating in 23 countries. Amazon Marketplace enables millions of Sellers worldwide to list hundreds of millions of products and manage orders for inventory across dozens of different categories and languages. The IN Seller Partner Services Tech organization is responsible for building delightful seller experiences with the vision of being the technology foundation that makes Amazon the #1 choice for sellers of all types and price-sensitive customers in India and emerging markets—transforming how a billion people buy and sell, thereby transforming lives. By making its sellers successful, Amazon can attract and retain sellers on the platform, which in turn offers its customers the best selection, convenience, pricing and experience resulting in multi-billion-dollar business. This organization enables sellers of all stripes across a multitude of business lines existing or new such as Q-Commerce, Pharmacy and Out of country selling.

Key job responsibilities
  • Design, implement, test, deploy, and maintain innovative science solutions to accelerate our business.
  • Create experiments and prototype implementations of new learning algorithms and prediction techniques
  • Collaborate with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems
  • Use best practices to ensure a high standard of quality for all of the team deliverables
Basic Qualifications
  • Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
  • 3+ years of building machine learning models or developing algorithms for business application experience
  • 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in professional software development
  • Experience implementing algorithms using toolkits and self-developed code
Preferred Qualifications
  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
  • 5+ years of building machine learning models or developing algorithms for business application experience
  • Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members

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.

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