Amazon Alexa: Software Development Engineer
101 Main Street
Cambridge, MA 02142

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At Alexa's Machine Learning Data Platform, we care about safeguarding customer privacy while improving Alexa. We're hiring experienced engineers to join us in helping to make Alexa better.

As a member of the Alexa Machine Learning Data Platform team, you will be responsible for leading the development and launch of core infrastructure and platform features. You will work in a highly collaborative and supportive environment across all stages of an agile software development lifecycle, including architecture design, development, documentation, testing, and operations. Your software will be used by hundreds of thousands of people every day.

What you'll be doing:
· Writing code in Java and Python.
· Utilizing AWS Compute, Networking, Security, Storage, and Database services such as EC2, S3, EBS, Lambda, AutoScaling, DynamoDB, and many more.
· Designing and Implementing Big Data storage and retrieval features that delight customers.
· Providing technical guidance on software design, architecture, patterns and practices.
· Helping your team self-organize and create software development processes and practices that will work best for you and your teammates.
· Building relationships with your customers, partner teams, and the engineers on your team.

Your background and who you are:
· You have at least a few years of experience delivering high-quality, distributed, testable, and scalable software.
· You've made mistakes in the past and have learned a lot from them. You apply these learnings regularly.
· You believe there are generally multiple ways to solve a technical problem, each with different trade-offs. You don't typically think in terms of the "right" or "wrong" way to do something.
· You approach projects, tasks, and unknowns with curiosity. You enjoy sharing what you know and what you learn with the people around you.
· You believe that a team is strongest when it is diverse and includes multiple perspectives.
· You are able to put yourself into your customer's shoes, you frequently immerse yourself in the customer experience to understand how you can serve them better.

BASIC QUALIFICATIONS

· 2+ years of non-internship professional software development experience
· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
 

PREFERRED QUALIFICATIONS

· Excellent verbal and written communication skills
· Experience developing cloud and distributed software services and an understanding of design for security, availability, and performance.
· Development experience defining, developing, and maintaining REST based interfaces.
· Sharp analytical abilities and proven design skills.
· Strong sense of ownership, urgency, and drive.
· Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
· Ability to work well with a diverse team
· Proven results and a history of project delivery

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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Full-time

Employee Testimonials

Spyros M.
Senior Principal Scientist, Alexa Machine Learning

“For scientists, this is a great place for doing research because Amazon is very data-driven and metrics-oriented. The rigor expected in scientific publications in terms of running controlled experiments and tracking progress based on well-established metrics is exactly what we see in our team.”

“You also interact with people with strong technical and practical experience and learn from each other,” he says. “You’re exposed to a breadth of challenges, many of them long-term applications for artificial intelligence."

Chao W.
Alexa Science Manager

“Since 2000 I’ve been focused on developing spoken language and machine translation systems that can engage with humans more effectively, and hopefully break down language and other barriers,” Chao says. “We’re still far from systems that truly understand the meaning of what we’re saying, but the progress we’re making with Alexa is incredibly exciting.”

Janet S.
Senior Manager of Applied Modeling and Data Science

“We have much further to go in developing systems that can truly understand and converse with humans naturally.  But I’m incredibly proud of how far we’ve come with Alexa, and super excited about the work teams are doing to make Alexa smarter every day.”

Shankar A.
Senior Manager, Applied Science

“When I first joined the team I didn’t realize just how big and ambitious this initiative really is,” said Shankar. “What’s incredibly exciting for speech scientists like myself is how algorithmic innovations in machine learning and data science have created a sophisticated voiced-based AI like Alexa, and how our work on improving this technology has a positive impact on the day-to-day lives of millions of customers using it."

Chris C.
People Manager

“We have an incredibly diverse, experienced and curious team that is always pushing the envelope even further! Here at Amazon, we pride ourselves on being peculiar. We bring in talent from all around the world, leading to a diversity of background, culture and perspective in each team!” 

Beatriz R.
Team Manager

“I have quickly learned that Amazon is a company where you can actually voice out your ideas and concerns, where you can expect the support and interest of Leadership. We are quick to take action, passionate about improving processes and driven to enhance morale, so being able to speak up without fear has been my best asset. Now at the year mark at ADS, I am happy to say that the culture is one where you are proud to be a member of the team. “