: Senior Applied Scientist – Alexa AI – Cambridge, MA
101 Main Street
Cambridge, MA 02142

Employee Testimonials




Do you want to work on Alexa, the voice activated digital assistant powering Amazon Echo, Dot, Show and Fire TV? Are you an Applied Scientist who dreams of building solutions that combine the latest technology in applied machine learning, NLP and distributed Cloud services? The Entity Resolution (ER) team works on one of the core server-side components for Alexa’s Natural Understanding (NU) module, which provides additional context and information about the user’s question to Alexa. We are looking for a talented, detail-oriented and self-motivated Applied Scientist who is passionate about new technologies to join the team. You will be working alongside top notch machine learning scientists and engineers building complex new capabilities for Alexa. Our systems need to meet remarkably high standards of quality, performance and reliability, operating around the clock on a massive scale. As a member of the team, you will be responsible for leading the development and launch of core product features. You will deliver key machine learning solutions into production, while inventing and building algorithms from the ground up. You will have significant influence on the overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product to delight Alexa customers.


· Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, or Mathematics with specialization in speech recognition, natural language processing, or machine learning
· 5+ years relevant industry experience
· Experience with programming language like Python, R, MATLAB, or similar scripting language


· Ph.D. with concentration in Natural Language Processing, Machine Learning, Statistics or another highly quantitative field
· Significant peer reviewed scientific contributions in relevant field
· Extensive experience applying theoretical models in an applied environment
· Expertise on a broad set of ML approaches and techniques
· Proven track record of delivering large-scale machine learning, speech, language understanding, search and/or personalization applications, or leading successful research projects in one or more of these fields
· Strong fundamentals in problem solving, algorithm design and complexity analysis
· Experience with defining organizational research and development practices in an industry setting
· Proven track record in leading, mentoring and growing teams of scientists (teams of five or more scientists)
· Strong communication and data presentation skills
· Experience with Java, C++ (or other high-level programming languages)
· Experience developing cloud software services and an understanding for scalability, performance, and reliability

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


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. “