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Amazon

Size

829302

HQ

Seattle, US

Public/Private

Public Company

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About the company

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

AI Skills and Tools in jobs at Amazon

AI
Amazon Transcribe
Anomaly Detection
Apache Spark
Applied ML
BERT
Big Data
Clustering
CNNS
Computer Vision
Conversational AI
Conversational Assistants
Core ML
Data
Data Analysis
Data Architect
Data Collection
Data Engineer
Data Exploration
Data Infrastructure
Data Integrations
Data Lakes
Data Mining
Data Modelling
Data Science
Decision Trees
Deep Learning
Depth Estimation
Diffusion Models
Dimensionality Reduction
Embeddings
Ensemble Learning
Feature Engineering
Fine Tuning
Flair
foundation model
Generative AI
GNNs
Graph Machine Learning
Hadoop
Haystack
Hive
HuggingFace
Image Generation
Inference
Information Retrieval
Interpretability
JAX
Knowledge Graphs
Langchain
Lightning
Linear Regression
LLMs
Logistic Regression
Machine Intelligence
Machine Learning
Machine Translation
MapReduce
ML Ops
ML Research
ML Scientist
ML Theories
Model Distillation
Model Optimization
Model Quantization
Motion Planning
Multimodal
Neural networks
NLP
NLU
OCR
Pattern Recognition
Predictive Modelling
Presto
Prompt Engineering
PySpark
PyTorch
RAG
Random Forests
Recommender Systems
Reinforcement Learning
RLHF
RNNs
Robotics
SageMaker
Scikit-learn
Semantic Search
Sentiment Analysis
Speech Recognition
Stable Diffusion
Supervised Learning
Tensorflow
Text Classification
Text Generation
Text Summarization
Text To Speech
Time Series
Training Data
Training Models
Transfer Learning
Transformers
Unsupervised Learning
Vector Database
XLA

Other Languages, Tools, Libraries and Frameworks used at Amazon

PyTest
Ruby On Rails
Vue.js
Angular
React Native
Next.js
Java Spring
SharePoint
Amplitude
Identity Access Management
Java
JavaScript
CSS
HTML
C#
Objective-C
SCALA
Kotlin
S3
PHP
Rust
Ruby
Perl
Swift
R
XML
Assembly Language
MATLAB
HTML5
C
Sharp
SAML
S
TCL
SystemVerilog
Lua
ORC
React
AD
Selenium
JQuery
ADS
FastAPI
SQL
C++
TypeScript
DASH
MPI
SSR
Live View
Senior
Manager
Junior
Tech Lead
Consultant
Principal
Team Lead
CTO
Founder
Freelance
IOS
Kubernetes
Rest
Docker
GCP
Linux
Azure
Git
PostGres
Terraform
Z/OS
MySQL
Kafka
Jira
SalesForce
Flow
Android
Tableau
IOS SDK
GraphQL
Elasticsearch
Bash
Apache
Unix
Slack
Power BI
Oracle
MS Office
HTTP
Confluence
EC2
SQL Server
RDS
FirmWare
JSON
RedShift
ARM
Figma
Spring Boot
Spring
DynamoDB
Lambda
DNS
MS SQL
Hubs
PowerPoint
EKS
Shell Script
GPUs
Cisco
ECS
Chef
PowerShell
Fluid
Shell
Helm
GRPC
SAP
LOOP
VMWare
EMR
SQS
MacOS
SSL
SDK
Metal
Red Hat
MS SQL Server
MS Excel
PCB
Okta
CloudWatch
Unreal Engine
RHEL
Flink
GitLab CI
Kinesis
Apollo
IPS
IDS
Boost
AWS Lambda
Verilog
Aurora
TLS
CLI
SSO
Linux Kernel
LightSpeed
SAS
Grid
CDK
Athena
MS Word
DHCP
Sketch
SNS
Event Driven
Windows Server
SOCs
Embedded Linux
IDE
DOTS
ISO 27001
Altium
Toolkit
WAF
Linux System Administration
GIS
GUI
AWS S3
IP Networking
XCode
Canvas
Linux Server
PCI DSS
MES
Oracle DB
CDI
Microsoft Windows
Spark SQL
Tablets
Android Studio
Cloud Formation
REST Assured
Dynamo
AWS Glue
Photoshop
QuickSight
VBA
AWS Redshift
RBAC
SPSS
QlikView
SLURM
Electron
OData
Oracle SQL
InVision
PCS
Atlassian Jira
PIG
SoapUI
SubStrate
CNCF
STL
LoopBack
Microsoft Exchange
SAP ERP
ASG
Microsoft SharePoint
AWS Java
Meister
Python
AWS
GO

Company’s Key products

Amazon’s key products and services span a wide range of categories. Here are some of the most notable ones:

Retail and E-commerce

  • Amazon Marketplace: A platform where third-party sellers can list and sell their products alongside Amazon’s own inventory.
  • Amazon Fresh: A grocery pickup and delivery service available in several U.S. cities and international locations.
  • Amazon Prime: A loyalty program offering unlimited free shipping, streaming services, and other benefits.

Private Label Products

  • AmazonBasics: A private-label brand offering consumer electronics, home, and office accessories.
  • Amazon Elements: Includes health and personal care items, baby wipes, and nutritional supplements.
  • Mama Bear: Baby products such as diapers, baby food, and baby laundry detergent.
  • Presto: Laundry detergent, household paper towels, and toilet paper.
  • Amazon Essentials: Basic clothing for men, women, babies, and kids.
  • Goodthreads<

How is the company using AI?

Amazon utilizes artificial intelligence (AI) and machine learning (ML) in a variety of ways to enhance its operations, improve customer experience, and achieve sustainability goals. Here are some key areas where Amazon employs AI:

Personalized Product Recommendations

Amazon’s recommendation engine, powered by machine learning, analyzes customer data such as buying behavior, items in the cart, viewed items, and search history to generate personalized product recommendations. This approach drives a significant portion of Amazon’s sales, with reports indicating that AI-based recommendations account for up to 35% of total sales.

Supply Chain and Logistics Optimization

AI is used to optimize Amazon’s supply chain by forecasting demand, managing inventory levels, and routing orders to the most efficient fulfillment centers. This includes predicting which products will be popular and adjusting inventory accordingly, reducing waste and ensuring timely deliveries.

Fraud Detection and Security

Amazon employs AI to detect and block suspicious account activity and identify fraudulent listings. For example, AI systems fl

Company Mission & Values

Amazon’s key mission and values can be summarized as follows:

Mission Statement

Amazon’s mission statement is: “to be Earth’s most customer-centric company.” This mission emphasizes the company’s commitment to providing attractive e-commerce services, focusing on customer satisfaction, convenience, and a broad selection of products.

Vision Statement

The vision statement is: “to be earth’s most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online.” This vision highlights Amazon’s goal of creating a comprehensive online platform that meets all customer needs globally.

Core Values

Amazon is guided by several core values and leadership principles, including:

Customer Obsession

  • The company prioritizes customer satisfaction above competitor focus, ensuring the best experience for customers.

Passion for Invention

  • Amazon continuously innovates and simplifies processes to make customers’ lives easier, evident in features like one-click ordering an

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Internship
AI
NLP
Conversational AI
Machine Learning
The role involves defining and solving complex problems within the field of conversational artificial intelligence. The individual will lead large-scale data science initiatives, including work with l...
Bellevue, WA, USA
Full Time
Machine Learning
Computer Science
Integrations
Code Reviews
The role involves architecting and developing mission-critical software and firmware for machine learning platforms. Responsibilities include collaborating with manufacturing partners and internal tea...
Cupertino, CA, USA
Internship
Data Engineer
Deep Learning
Big Data
Data Infrastructure
The team creates core analytics, insight generation, and science capabilities for operations. They develop scalable analytics applications, AI/ML products, and research models to optimize operational ...
Hyderabad, India
Full Time
Machine Learning
Computer Science
Integrations
Code Reviews
The role involves architecting and developing mission-critical software and firmware for machine learning platforms. Responsibilities include collaborating with manufacturing partners and internal tea...
Austin, TX, USA
Internship
Data Mining
Problem Solving
Business Intelligence
Data Visualization
The role involves analyzing and visualizing data to generate actionable business insights and recommendations. The individual will develop metrics to support business and product growth while driving ...
Bangalore, India
Full Time
AI
Machine Learning
Computer Science
Project Management
The role involves driving the technical direction for advertising offerings within the Sponsored Products organization. The engineer will design, code, troubleshoot, and support scalable machine learn...
Seattle, WA, USA
Internship
Integrations
Operating Systems
Network Security
System Integration
The role involves designing, planning, and delivering corporate office network infrastructure. The engineer will automate the deployment of network devices and gateways across network fabrics using in...
Bangalore, India
Remote
Computer Science
Information Systems
Cloud Infrastructure
Web Services
The role involves monitoring networks and systems to identify and document suspicious activity. Professionals in this position lead security responses and provide engineering solutions during customer...
Bangalore, India
Internship
Disclaimer: Summary information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. Official company websites should always be relied on for authoritative information.