Alexa Science | Data Scientist | Cambridge, MA | ONSITE, FULL TIME
As a Sr. Data Scientist in our Applied Modeling and Data Science team, you will be responsible for data-driven improvements and evaluation for our spoken language understanding models. Your work will directly impact our customers in the form of products and services that make use of speech and language technology.
The Alexa Science and Machine Learning team made the magic of Alexa possible, but that was just the beginning. Our goal is to make voice interfaces ubiquitous and as natural as speaking to a human. We have a relentless focus on the customer experience and customer feedback. We use many real-world data sources including customer interactions and a variety of techniques like highly scalable deep learning. Learning at this massive scale requires new research and development.
Experience in Perl, Python, or another scripting language; command line usage
· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
· High-level knowledge of various machine learning techniques and key parameters that affect their performance
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Alexa Science is a small team in Cambridge, MA (next to MIT) please reach out if you would like to learn more! Cheers, Emma [email protected]
Amazon Alexa Data Services | Boston or Seattle | Full time
Alexa is always getting smarter. Join the team that trains her.
Love working with data? We have the team for you! The Alexa Data Services (ADS) organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with internal customers like Machine Learning Science modeling teams, providing the critical data they need to improve Alexa’s Automatic Speech Recognition and Natural Language Understanding models and domain features.
Interested in improving the AI logic for Alexa? Please send me a note! I'd love to hear from you as we build this new, small team in Boston and Seattle. Cheers, Emma [email protected]
Hi jo_
I'd love to talk with you about Alexa's NLP and ML research team in Cambridge, MA [email protected] send me a note! We have a robust team of senior and principal engineers and scientists to learn from
If you love machine learning, big data and AWS we want to talk with you! We’re building the machine learning data platform behind Amazon’s amazing Alexa and we’re looking for all levels of engineers (junior-senior-principal) to work on our (really) big data management problems, low-latency messaging-based architectures and applications, self-service automation tools and ML tools and frameworks. Are teams are small, self-directed and work with the latest and best tooling.
Come invent the future of machine learning and big data at Amazon and have fun!
If you’d like to learn more feel free to email me (Eric) at [email protected] to learn more.
Amazon Alexa Science
Cambridge, MA ONSITE full-time
Alexa Science teams in Cambridge, MA are a group of scientists and developers working on what's next for Amazon's speech software. This group is publishing research on conversational AI, speech, and machine learning in Kendall Square. I'd love to chat with scientists and engineers with a background or interest in working in a research environment. Please let me know if you would like more info! Best, Emma [email protected]
Amazon Alexa Science
Cambridge, MA ONSITE full-time
Alexa Science teams in Cambridge, MA are a group of scientists and developers working on what's next for Amazon's speech software. This group is publishing research on conversational AI, speech, and machine learning in Kendall Square. I'd love to chat with scientists and engineers with a background or interest in working in a research environment. Please let me know if you would like more info! Best, Emma [email protected]
Experience in Perl, Python, or another scripting language; command line usage · Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis · High-level knowledge of various machine learning techniques and key parameters that affect their performance · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Alexa Science is a small team in Cambridge, MA (next to MIT) please reach out if you would like to learn more! Cheers, Emma [email protected]