採用
Required Skills
Machine Learning
Alexa is the pathbreaking intelligent agent that has changed customers’ lives and made voice driven experiences a reality today. If you are passionate about innovating in the space of generative AI and are a highly-motivated, talented software engineer who wants to bring gen-AI into the lives of our youngest customers, then come join the Alexa Kids Experience team. To realize our vision of making Alexa a fun, supportive, and educational companion for kids, engineers on our team must innovate to build unique Alexa features from ground-up and solve a range of machine learning challenges across the Alexa architecture. We leverage generative AI, distributed systems, knowledge graph, and much more, to build solutions that scale to millions of devices and customers across the globe.
If you are holding out for an opportunity to:
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Learn and work with gen-AI technology
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Make a huge impact as an individual
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Create applications at a massive scale used by millions of people
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Work with machine learning systems to deliver real experiences, not just research
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Be part of a team of smart and passionate professionals who will challenge you to grow every day
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And you constantly look for opportunities to…
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Innovate, simplify and increase efficiencies
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Use data to make decisions and validate assumptions
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Automate processes otherwise performed by humans
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Learn from others and help grow those around you
...then we would love to chat!
In 2026, we are building new products and features from ground up with generative AI and we are looking for strong, bias for action engineering leaders who are not afraid of taking bold bets and trying new things to improve customer experience for Alexa.
As part of a new team, you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities. You will be instrumental in setting the team culture, quality bar, engineering best practices, and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of generative AI, distributed systems, machine learning, conversational technologies.
This role is exciting for engineers who love to apply startup mindset to their day-to-day, enjoy working cross-functionally to master both business and technology knowledge, and are passionate about building engineering best practices. If you are looking for opportunity to learn, grow and lead, this is the position for you.
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
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
PublicAmazon.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
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
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
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