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

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Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We’re building the speech and language solutions behind Amazon Alexa and other Amazon products and services. Come join us!

The Applied Modeling and Data Science team (part of Alexa A.I.) is seeking a talented, self-directed Software Development Engineer to help us pioneering new machine learning tools and processes through an iterative research and development cycle. You will build scalable, self-serve applications for use across the Alexa Machine Learning organization. You will have significant influence on our overall strategy as you work with a small team of subject matter experts and engineers to define features, system architecture, best practices. You will work with the other engineers on the team to execute our technical vision and create a world class product.

Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. He or she will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements.

Responsibilities:
· Responsible for the development and maintenance of key backend components and APIs
· Will work with business and technical stakeholders to determine end-to-end system design and overall technical strategy
· Will work with a Front End Engineer to connect backend components to engaging, user-tested UIs
· Will work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
· Will work in an Agile/Scrum environment to regularly deliver high quality software that has a measurable customer value

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

· MS in Computer Science
· Mastery of the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++, Objective C, Python, Ruby, C)
· Experience developing cloud software services and an understanding of design for scalability, performance and reliability.
· Development experience defining, developing and maintaining REST based interfaces.
· Excellence in technical communication with peers and non-technical cohorts.
· Strong sense of ownership, urgency, and drive.
· Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
· Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
· Analytical abilities and proven design skills.
· Experience in web/front-end development.

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. “