: Applied Science Manager
101 Main Street
Cambridge, MA 02142

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Alexa’s Translations team is looking for an experienced Applied Science Manager to build industry-leading technologies in speech translation. Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot and Fire TV. Our team's mission is to enable Alexa to break down language barriers for our customers.

As an Applied Science Manager, you will lead a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in speech translation. You will work in a hybrid, fast-paced organization where scientists and engineers work together and drive improvements to production. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.

We are looking for a leader with strong technical experience, demonstrated progression of management scope, and a passion for managing Science talent in a fast-paced environment. In addition to technical depth, you must possess exceptional project management and communication skills, and understand how to coach a team. As a Science leader you will:
· Manage and mentor other scientists and engineers, review and guide their work, help develop roadmaps for the team and provide coaching for career development
· Contribute directly to our growth by hiring smart and motivated Scientists and managers to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.
· Work closely with other teams across Alexa to deliver platform features that require cross-team leadership.
· Represent your business and operations to the highest level of leadership within Amazon.

If you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.

BASIC QUALIFICATIONS

· Graduate degree (MS) in Electrical Engineering, Computer Science, or Mathematics.
· More than 6 years of industrial/academic experience in data science, machine learning or a related field.
· Demonstrated use of modeling and optimization techniques tailored to meet business needs.
· Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment.
· Familiar with programming languages such as C/C++, Java, Perl or Python

PREFERRED QUALIFICATIONS

· PhD in Computer Science or equivalent
· Direct experience in the Translations problem space
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· More than 10 years of industrial/academic experience in building speech recognition, natural language processing, machine translation systems (e.g. commercial speech products or government speech projects)
· Demonstrated experience to manage an industrial research team for at least 3 years.
· Demonstrated ability to mentor other Scientists
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· Strong sense of ownership, urgency and drive
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· Demonstrated ability to achieve stretch goals in a highly innovative and fast pace environment

Amazon is an Equal Opportunity Employer – Minority / Women / 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. “