Applied Scientist, Alexa Sensitive Content Intelligence

Amazon

3 - 8 years

40 - 45 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

ce c++ python project management software development data mining program management business analysis artificial intelligence sql cs java linux data structures software engineering business applications unix programming ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

Imagine starting your day collaborating with brilliant minds on advancing state-of-the-art NLP algorithms, then moving on to analyze experiment results that could reshape how Alexa understands and responds to users
Youll partner with cross-functional teams from engineers to product managers to ensure data quality, refine policies, and enhance model performance
Your expertise will guide technical discussions, shape roadmaps, and influence key platform features that require cross-team leadership
About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.
The term sensitive content includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content.
The term content refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.
3+ years of building models for business application experience
PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux
Experience in professional software development

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