
Work hard. Have fun. Make history.
Software Development Engineer, Alexa Kids Experience
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:
-
Learn and work with gen-AI technology
-
Make a huge impact as an individual
-
Create applications at a massive scale used by millions of people
-
Work with machine learning systems to deliver real experiences, not just research
-
Be part of a team of smart and passionate professionals who will challenge you to grow every day
-
And you constantly look for opportunities to…
-
Innovate, simplify and increase efficiencies
-
Use data to make decisions and validate assumptions
-
Automate processes otherwise performed by humans
-
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.
Total Views
0
Total Apply Clicks
0
Total Mock Apply
0
Total Bookmarks
0
Similar jobs
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
$1.5T
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
2.5
Compensation
4.2
Culture
3.0
Career
3.8
Management
2.7
65%
Recommend to a friend
Pros
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
Cons
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
Salary Ranges
4 data points
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
L3
L4
L5
Junior/L3 · Data Scientist L4
0 reports
$181,968
total per year
Base
-
Stock
-
Bonus
-
$154,672
$209,264
Interview experience
6 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 17%
Negative 83%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Latest updates
OpenAI’s subtle drift from Microsoft has become an aggressive move toward Amazon - CNBC
CNBC
News
·
1w ago
A blue-collar worker says he makes $10,000 per month from Amazon in just 20 hours of work — how you can do it, too - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amazon Q1 earnings put the spotlight on AI spending and revenue - Yahoo Finance
Yahoo Finance
News
·
1w ago
Amazon Damage Claim NC | After delivery driver damages garage door, homeowner gets claims money: ABC11 Troubleshooter - ABC11 Raleigh-Durham
ABC11 Raleigh-Durham
News
·
1w ago

