Amazon Alexa: Software Development Engineer, Machine Learning, Speech and Language Technologies
101 Main Street
Cambridge, MA 02142

Employee Testimonials

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Interested in Machine Learning? How about Amazon Echo and Alexa? We’re building the machine learning platform behind Amazon Echo and other Amazon products and services. We’re working hard, having fun, making history; come join us!

As a member of the team you will be responsible for leading the development and launch of core products that enable Alexa feature expansion. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.

The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. 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. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.

Responsibilities:

- Responsible for the development and maintenance of key system features
- 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 deliver high quality software against aggressive schedules.

BASIC QUALIFICATIONS

· BS/MS in Computer Science or equivalent.
· 3-5+ years of industry experience.
· Programming in C, C++ and/or Java in Linux and/or Windows environment.
· Experience building scalable infrastructure software or distributed systems for commercial online services.

PREFERRED QUALIFICATIONS

· 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.
· 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.
· Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.

Amazon is an Equal Opportunity - Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation

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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. “