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

Employee Testimonials

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Do you want to work on Alexa, the brains behind user-delighting spoken language products Amazon is building like the Amazon Echo, Amazon Dash, and Fire TV? The Entity Resolution (ER) team works on one of the core server-side components for Alexa’s Natural Language Understanding (NLU) module, which provides additional context and information about the user’s question to Alexa.

ER is a search problem and we use a variety of techniques to try and optimize this search to be as fast and accurate as possible. We are still a long way away from perfecting it, and are looking for curious software developers that are interested in building something that will make a difference in millions of users' daily lives.

Successful developers and scientists on our team have come from a variety of previous backgrounds but share the common qualities of being obsessed with quality, interested in scalable system design, and unafraid to dive deep into complex engineering problems which haven't yet been solved.

As a Sr. Software Engineer, you will be responsible for setting technical vision of how we build the software behind Alexa. A successful candidate will have an established background in setting product, technical, and architectural vision on building technology that enriches the customer experience at scale.

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.
· Bachelor's Degree in Computer Science (Computer Engineering, Electrical Engineering, etc.)
· 5+ years experience with leadership among software development teams
· Architectural or distributed systems experience
· Experience in the building of software systems that have been delivered to customers
· Experience with the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++, C#)
· Experience delivering cross-functional projects in a distributed systems environment
· Knowledge in machine learning techniques in entity resolution or text search domain.

PREFERRED QUALIFICATIONS


· Solid Machine Learning background and prior work experience with ML is a plus.
· Experience working with scientists and ability to invent, a track record of thought leadership and contributions that have advanced the field
· Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy
· Experience contributing to intellectual property through patent generation.
· Possess expert knowledge in search systems, performance, scalability, enterprise system architecture, and engineering best practices.
· Experience exerting technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.

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

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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. “