Alexa is the voice activated digital assistant powering devices like Amazon Echo Echo Dot Echo Show and Fire TV which are at the forefront of this latest technology wave. To preserve our customers experience and trust the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industryleading technologies in attribute extraction and sensitive content detection across all languages and countries.
An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid fastpaced organization where scientists engineers and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech language and computer vision technologies.
We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fastpaced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM transformer based models) or CV models (e.g. CNN AlexNet ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise a sound understanding of the fundamentals of Computer Science and practical experience of building largescale distributed systems to creating reliable scalable and highperformance products. In addition to technical depth they must possess exceptional communication skills and understand how to influence key stakeholders.
This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazons history so 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.
Key job responsibilities
This Applied Scientist will lead the science solution design run experiments research new algorithms and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation they will work closely with talented engineers and ML scientists to put algorithms and models into practice.
This Applied Scientists work will also directly impact the trust customers place in Alexa globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably adjusting in an agile fashion to deliver what our customers need.
A day in the life
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering PMs data annotators and other scientists to discuss data quality policy and model development. You will mentor other scientists review and guide their work help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require crossteam 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 branddamaging 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 toptier peerreviewed 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 highperformance computing
Experience using Unix/Linux
Experience in professional software development
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