Considering a career as an Amazon Intern? This comprehensive beginner’s guide will walk you through everything you need to know, from the recruitment process to the required skills and responsibilities. Discover what it takes to land a rewarding role developing solutions on Amazon’s industry-leading platforms.
About Amazon
Amazon Recruitment
Company Website: www.Amazon.com
Job Role: Intern
Qualification: Bachelors Degree / MS / PhD
Experience: Freshers
Batch: Any Batch
Salary: up to ₹6 LPA
Job Location: Bangalore
Last Date: ASAP
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Job Description
As an Applied Scientist, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.
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Your Role and Responsibilities
Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, Deep Learning and Computer Vision algorithms and designs using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you want to build a foundation for your career after your Bachelor’s or Master’s or Ph.D program at an industry-leading company?
You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.
Skills Required
- Currently enrolled in degree program (Bachelor’s or MS or Ph.D.) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields.
- Strong working knowledge of programming languages such as C/C++, Java, or Python (SciPy, RPy2, etc).
- Practical machine learning experience
PREFERRED QUALIFICATIONS
- Research experience related to machine learning, deep learning, NLP, computer vision, data science
- Published and/or presented papers at ICASSP, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events
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Selection Process
The Amazon Intern selection process for Graduate Intern off-campus recruitment includes the following stages:
Online Application and Screening
Visit the Amazon Careers page and submit your application for the relevant job role along with your resume. The recruiting team screens all applications and shortlists candidates for the next round.
Online Assessment
Shortlisted applicants are invited to complete an online coding challenge or technical assessment to demonstrate relevant skills for the role they have applied for.
Technical Interviews
Candidates who successfully complete the assessments are scheduled for one or more technical discussions focused on computer science fundamentals, database concepts, system design etc.
HR Interview
Candidates who successfully clear the technical interviews appear for a human resources interview. The HR round evaluates your overall job fitment, strengths-weaknesses, salary expectations and organizational culture alignment.
Final Selection
Candidates who clear all the previous interview rounds are made a final job offer based on interview performance, profile match, and business requirements. The offer letter includes compensation details, job location and joining date.
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How to Apply For Amazon
If you are interested in the Amazon off-campus recruitment drive, here is the application process to follow:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, please create an account.
- After registration, log in and fill out the application form with all the required details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
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