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Amazon is hiring Applied Scientist Intern | 93k/month

Amazon
Bengaluru, Hyderabad, Chennai
H
By Haris Khan1 year ago
₹92K - ₹1.2L/month0-0 years20272026202520242023InternshipFull Time
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Overview

Job Description

Amazon is seeking highly motivated and talented individuals to join as Applied Scientist Interns. This internship is ideal for candidates excited about developing cutting-edge solutions in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision (CV) using large-scale datasets. As an intern, you'll be solving real-world challenges at scale—often for the first time in the industry.

You will work in a dynamic, fast-paced, and interdisciplinary team composed of world-class researchers and engineers. This role provides a unique opportunity to drive innovations, design novel algorithms, and influence real-world products that impact millions of customers.

Responsibilities

  • Apply statistical modeling and ML techniques to build intelligent customer-facing applications.
  • Distill complex problem statements into actionable insights and deliver pragmatic solutions.
  • Collaborate across teams with researchers and engineers to deploy solutions in real-world systems.
  • Design and implement novel prototypes and transition them to scalable production systems.
  • Conduct research leveraging state-of-the-art academic and industrial methods or your own novel ideas.

Internship Guidelines

  • Internship requires full-time commitment—no academic projects, exams, or employment during the internship period.
  • Any exam schedules must be communicated in advance to the hiring manager.
  • A declaration of availability, signed by a competent university authority, will be required upon confirmation.
  • Internship dates and team-specific norms will be communicated by the reporting manager.

Basic Qualifications

  • Must be 18 years or older.
  • Currently pursuing or recently completed a Master’s or Ph.D. in a relevant quantitative field.
  • Strong programming skills in C/C++, Python, Java, or Perl.

Preferred Qualifications

  • Demonstrated research experience in Machine Learning, NLP, Deep Learning, Computer Vision, or Data Science.
  • Publications or presentations in top-tier conferences such as ICML, NIPS, CVPR, ICASSP, KDD.

Technical Skills Required: C, C++, Python, Java, Perl, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science

Additional Information

Amazon celebrates diversity and is committed to creating an inclusive environment for all employees. If you require any accommodation during the application, interview, or onboarding process, please visit Amazon Accommodations.

Amazon is an equal opportunity employer.

If an employer asks you to pay any kind of fee, please notify us immediately. Talentd does not charge any fee from applicants and we do not allow other companies to do so.

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Education Requirements

  • Pursuing or recently completed a Master’s degree or Ph.D. in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics, or a related quantitative field

Eligible Batch Years

2027, 2026, 2025, 2024, 2023
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Amazon

Amazon is a multinational technology and e-commerce giant founded in 1994 by Jeff Bezos in Seattle, Washington, USA. Originally launched as an online bookstore, Amazon has since evolved into one of the world's largest and most diversified companies, offering products and services across retail, cloud computing, digital streaming, artificial intelligence, and logistics. Its mission is "to be Earth's most customer-centric company," striving to offer customers the widest selection, lowest prices, and utmost convenience.

With over 1.5 million employees globally, Amazon operates extensive fulfillment and delivery networks, powers its AWS (Amazon Web Services) cloud platform used by millions of businesses, and owns subsidiaries such as Whole Foods Market, Audible, and Twitch. The company consistently ranks among the top in global market capitalization and is recognized for its innovation, operational efficiency, and disruptive impact on multiple industries. Recent developments include continued expansion of AWS services, advancements in AI-driven shopping experiences, and sustainability initiatives aimed at achieving net-zero carbon emissions by 2040.

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