Software Development Engineer, Amazon
Amazon Bengaluru, Karnataka, India
Job Description
"Unlock the secrets of Amazon's Selection Monitoring team and become a master Software Development Engineer, driving innovation in product discovery and catalog growth."
As an Amazon Software Development Engineer, you'll join the prestigious Selection Monitoring team, responsible for expanding the world's largest catalog through cutting-edge technology and machine learning algorithms.
In this role, you'll work on large-scale systems processing billions of products, leveraging parallel processing, machine learning, and deep learning to identify and prioritize new products for Amazon's catalog. Your contributions will directly impact product information, search, pricing, and delivery experiences for millions of customers worldwide.
Why you should learn this:
With Amazon's relentless drive for innovation, the demand for skilled Software Development Engineers is skyrocketing, with median salaries ranging from $141,000 to over $250,000 depending on experience.
Expected Salary: According to Indeed, the average salary for a Software Development Engineer at Amazon is between $160,000 and $240,000 per year, with top performers exceeding $300,000.
How it works:
- Step 1: Product Data Ingestion - Design and implement scalable systems to ingest and process vast amounts of product data from various sources.
- Step 2: Algorithmic Product Evaluation - Develop and deploy machine learning and deep learning algorithms to evaluate products and brands, identifying those with the highest potential for Amazon's catalog.
Core Concepts to Master
Information Retrieval (IR) Systems
Design and build state-of-the-art IR systems to mine the web, extract structured entities from unstructured/semi-structured data, and efficiently retrieve relevant information for product discovery and catalog growth.
Parallel Processing and Distributed Systems
Develop and optimize large-scale systems to process billions of products in parallel, ensuring scalability, reliability, and high performance in a distributed computing environment.
Machine Learning and Deep Learning
Apply machine learning and deep learning algorithms to evaluate products and brands, identifying patterns and relationships that inform product discovery and catalog growth decisions.
Interview Questions (Beginner)
- Can you explain the concept of Information Retrieval (IR) and its applications in product discovery?
- How would you design a scalable system to ingest and process large amounts of product data?
- What are some common challenges in implementing machine learning algorithms for product evaluation, and how would you address them?
Job Overview
Advance Questions
- • Design a system to optimize product data retrieval from a large-scale database, considering factors such as query performance, data consistency, and scalability.
- • Develop a machine learning model to predict product demand based on historical sales data, seasonality, and other relevant factors.
- • Explain how you would implement a deep learning algorithm to identify and prioritize new products for Amazon's catalog, considering factors such as product similarity, brand reputation, and customer preferences.