Amazon Alexa: Sr. Software Engineer - AMAZON ALEXA MACHINE LEARNING SCIENCE TEAM - Cambridge, Massachusetts
101 Main Street
Cambridge, MA 02142

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Software Engineer - Amazon Alexa Machine Learning Team - Kendall Square..

All-New Amazon Echo

Interested in delivering Natural Language Understanding (NLU) engineering solutions for Alexa working closely with a team of scientists in the Machine Learning (ML) space? The Amazon Alexa NLU team is a group of scientists and software engineers working on natural language solutions that push the envelope in the NLU space, in order to revolutionize how customers interact with Amazon’s products and services. Products such as Amazon Echo, Echo Show, and Fire TV are illustrative of the user-delighting spoken language solutions Amazon is building.

As a Senior Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale data mining solutions for natural language understanding (NLU). You will collaborate closely with a team of speech and machine learning scientists to influence our overall strategy, and define the team’s road map. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers.

A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

Responsibilities:
· Lead the development and maintenance of key Machine Learning systems and infrastructure for NLU in Alexa; deliver high quality software against aggressive schedules
· Actively participate in defining strategy, roadmaps and architecture for the team’s products
· Work with other team members to investigate best design approaches, prototype new technology and evaluate technical feasibility
· Mentor and help develop junior engineers, and demonstrate best development practices

 

BASIC QUALIFICATIONS

· BS in Computer Science or equivalent
· 5+ years of industry experience
· Programming experience in at least one language (e.g., Java, Python, C/C++)
· Experience with the tools of the trade, including experience with a variety of modern programming languages (e.g., Java, JavaScript, C/C++, Objective C, Python, Ruby) and open-source technologies (e.g., Linux, SQLite, OpenGL, Spring, Hadoop, Spark, Mesos, Rails)
· Experience with machine learning, big data or large scale distributed systems for commercial online services

PREFERRED QUALIFICATIONS

· Advanced degree (MS, PhD)
· Strong sense of ownership, customer obsession, and drive
· Experience developing machine learning software and an understanding of design for scalability, performance and reliability
· Sharp analytical abilities and proven design skills
· Experience in data modeling and analysis, especially with distinctive data sources
· Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices
· Excellence in technical communication with peers and non-technical cohorts
· Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment

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

Tags: Amazon, Amazon Alexa Echo, IoT, Internet of Things, Java, Java, Java, C++, C++, C, cloud, cloud, machine learning, machine learning, speech recognition, speech recognition, distributed systems, big data, big data, computer vision, CV, NLU, natural language understanding, automatic speech recognition, ASR, AWS, Amazon Web Services, large scale distributed file systems, Boston jobs at Amazon, Boston Massachusetts, Cambridge, Massachusetts, 02142, senior software development engineer, senior software engineer, principal software engineer, MTS

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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. “