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Machine Learning Alexa Team - Software Engineer - Cambridge, Massachusetts

Machine Learning Alexa Team - Software Engineer - Cambridge, Massachusetts

Job ID 
596377
Location 
US-MA-Cambridge
Posted Date 
4/13/2018
Company 
Amazon.com Services, Inc.
Recruiting Team 
..

Job Description

Software Development Engineer - Amazon Alexa Machine Learning Team - Cambridge, MA.

Interested in Machine Learning? How about Amazon Echo, Speech and Language Understanding, or Computer Vision? We’re building the machine learning (ML) platform behind Amazon Echo and other Amazon products and services. We’re working hard, having fun, making history; come join us! All-New Amazon Echo

As a Machine Learning Software Development Engineer, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale data mining solutions. In this, you will collaborate closely with a team of speech and ML scientists, and influence our overall strategy. A successful candidate will have an established background in engineering machine learning systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment. You will be helping to coach others in your team, in defining the road map for your group.

Responsibilities:
  • Responsible for the development and maintenance of key ML 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
  • 5+ years of industry experience, including in machine learning projects
  • Programming in one or more object-oriented languages like Java, Python, C++, C#, Ruby, Objective C
  • Experience building scalable infrastructure or distributed systems for commercial online services

Preferred Qualifications


  • Strong sense of ownership, customer obsession, and drive.
  • Mastery of the tools of the trade, including a variety of modern programming languages (Java, JavaScript, C/C++, Objective C, Python, Ruby) and open-source technologies (Linux, SQLite, OpenGL, Spring, Hadoop, Spark, Mesos, Rails)
  • 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.

Resumes can be submitted via our career site or to alexabostonjobs@amazon.com for consideration. Thank you

https://www.amazon.jobs/alexa-machine-learning


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



Amazon was founded by Jeff Bezos in 1994 and is the world’s largest internet based company in the world by total sales and market capitalization. Amazon is a company of builders and we strive to invent products and services which benefit our customers.


A brief sample of our innovations would include:

Amazon Web Services (AWS) offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services.

Amazon Alexa is a new category of device designed around your voice. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. https://www.amazon.jobs/en/teams/alexa-machine-learning

Amazon Kindle E-Reader is part of the Devices team which also includes Fire TV, Fire Tablets, and Amazon Dash

Amazon Audible is the world’s largest seller and producer of spoken audio entertainment, information and educational programming. Machine learning, speech recognition and data mining techniques are utilized to create scalable solutions for business problems



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