採用
必須スキル
Machine Learning
Amazon Photos empowers customers to preserve, share, and relieve their memories across mobile applications, web, desktop, Amazon devices, and as part of Alexa+. We strive to provide customers with the best memories companion for them and their families.
We're looking for a Software Development Engineer that wants to build and scale foundational services that power our computer vision and artificial intelligence capabilities. In this role, you'll architect and develop solutions that process millions of photos daily, enabling intelligent features that bring customer memories to life. You'll work at the intersection of large-scale distributed systems and AI technologies, creating services that form the backbone of Amazon Photos' next-generation features.
- Key job responsibilities
- Design and implement scalable, fault-tolerant services that power computer vision and AI features across the Amazon Photos ecosystem
- Build and optimize full-stack solutions that handle massive amounts of photo and video data while maintaining high performance and reliability
- Architect and develop ML model serving infrastructure and pipelines for real-time computer vision applications
- Drive technical decisions and architecture discussions for critical infrastructure components
- Collaborate with ML scientists to productionize computer vision models and optimize their performance at scale
- Implement and maintain observability solutions for complex distributed systems
- Mentor junior engineers and contribute to building a culture of engineering excellence
- Partner with product managers and other teams to define technical roadmaps and deliver customer-facing features
About the team
We operate at massive scale, processing billions of customer photos while maintaining high availability and low latency. Our team leverages technologies in distributed systems, computer vision, and machine learning to create innovative solutions that delight customers. We're building the future of how people interact with their memories, using AI to create more personalized and meaningful experiences.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with computer vision or machine learning technologies
- Experience building and maintaining large-scale distributed systems
- Knowledge of modern AI/ML frameworks and serving infrastructure
- Experience with cloud technologies and microservices architecture
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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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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