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Senior Applied Scientist , Books Content Experience

Amazon

Senior Applied Scientist , Books Content Experience

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

3w ago

Benefits & Perks

Healthcare

401(k)

Parental Leave

Healthcare

401k

Parental Leave

Required Skills

Machine learning

Python

Data mining

Natural language processing

Statistics

The Kindle team is seeking innovative Applied Scientists for improving the reading experience. Our team is dedicated to enhancing the book reading experience using advancements in Science to improve the book reading experience for Kindle customers.

Key job responsibilities

  • Inspect science initiatives across Amazon to identify how these can be applied and scaled to book reading experience.
  • Participate in team design, scoping and prioritization discussions. You must be able to map a business goal to a scientific problem, and map business metrics to technical metrics.
  • Spearhead the design and implementation of new features and algorithms based on thorough research and collaboration with cross-functional teams.
  • You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning
  • You are able to use reasonable assumptions, data, and customer requirements to solve problems.
  • You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members.
  • You work with SDEs to deliver solutions into production to benefit customers or an area of the business.
  • You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects.
  • You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs.
  • You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly
  • You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics.
  • You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You keep current with research trends in your area of expertise and scrutinize your results.
  • Experience in mentoring junior scientists

A day in the life
You will solve customer problems through innovative solutions that leverage the advancements in science. You will work with a group of talented scientists on researching algorithm and running experiments to test solutions to improve our experience. This will involve collaboration with partner teams including engineering, PMs, and other scientists to discuss data quality, model development and productionizing the same. You will mentor other scientists, review and guide their work, help develop roadmaps for the team.

Basic Qualifications

  • 5+ years of building machine learning models for business application experience
  • PhD, or Master's degree
  • Experience programming in Java, C++, Python or related language
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in computer architecture

Preferred Qualifications

  • Experience using Unix/Linux

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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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0 reports

$181,968

total / year

Base

-

Stock

-

Bonus

-

$154,672

$209,264

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge