: Applied Scientist
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Cambridge, MA 02142

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The Amazon Alexa teams are building speech and language solutions which will enhance user interactions with Amazon products and services.

We are looking for a passionate and talented Research/Applied Scientist to join our team. As a Scientist in the Wakeword team within the Speech organization, you will work with talented peers to develop novel algorithms to advance the state of the art in Speech detection. Your work will directly impact our customers in the form of products and services that make use of speech technology. You will be able to leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in speech/non-speech detection under a diverse set of usage scenarios and noise-conditions.

You will be able to:
· Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products.
· Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test.
· Be responsive, flexible and able to succeed within an open collaborative peer environment

BASIC QUALIFICATIONS

· PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
· 2+ years of experience of building machine learning models for business application
· Experience programming in Java, C++, Python or related language
· Master’s degree in Electrical Engineering, Computer Science, Math or related fields with specialization in speech recognition or signal processing.
· Experience with theory and practice of design of experiments and statistical analysis of results.
· Knowledge of algorithms and computational complexity.
· Experience in Python or similar scripting language.

PREFERRED QUALIFICATIONS

· Ph.D. in Electrical Engineering, Computer Science, Math or related fields with specialization in speech recognition or signal processing.
· Ability to relate to and solve business problems through data mining and statistical algorithms.
· Aspiration to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.
· Familiar with the core undergraduate curriculum of Computer Science.
· Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects)
· Algorithm development experience
· Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
· Publications at top-tier peer-reviewed conferences or journals
· Familiar with the techniques and limitations of observational studies.
· Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining.
· Skilled at data visualization and presentation.
· Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.
· Energy and willingness to formulate, test, and discard or revise many hypotheses to help Amazon improve its product catalog.
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. “