Applied Science Manager, Alexa Sensitive Content Intelligence (ASCI)

Alexa is Amazons next-generation AI-powered virtual assistant. Building on the original Alexa it uses generative AI to deliver a more conversational personalised and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa empowering it to provide useful information responsibly. The team is currently looking for Senior Applied Scientists with a strong background in NLP and/or CV to design and develop ML solutions in the RAI space using generative AI across all languages and countries.

A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a dynamic fast-paced organization where scientists engineers and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your 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 a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of Artificial Intelligence (AI) Natural Language Understanding (NLU) Machine Learning (ML) Dialog Management Automatic Speech Recognition (ASR) and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise a sound understanding of the fundamentals of Computer Science and practical experience of building large-scale distributed systems to creating reliable scalable and high-performance addition to technical depth you must possess exceptional communication skills and understand how to influence key stakeholders.

You 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
1. Define and own the scientific vision and roadmap for ML solutions for building end-to-end Responsible AI solutions
2. Lead and grow a high-performing team of Applied Scientists providing technical guidance mentorship and career development.
3. Guide model and system design to build innovative ML solutions at Alexa scale using state-of-the-art NLP and CV techniques.
4. Ensure models are production-ready scalable and robust through close partnership with stakeholders. Partner with Product Operations and Engineering leaders to enable proactive decision-making and corrective actions.
5. Own end-to-end business metrics directly influencing customer experience and trust.
6. Help contribute to the broader ML community through publications conference submissions and internal knowledge sharing.

A day in the life
As an Applied Science Manager on the Alexa Sensitive Content team youll lead a team of scientists and ML engineers building AI systems that keep Alexa safe and trustworthy for millions of users worldwide. Your role combines technical leadership with strategic decision-making and collaborating with product teams and policy experts to deliver engaging and safe experiences across Amazon devices. Youll stay current with advances in generative AI to design develop and own state-of-the-art NLP solutions. You will be coaching scientists to identify and mitigate risks early building more robust ML systems. Youll balance near-term delivery with long-term innovation ensuring solutions are robust interpretable and scalable. Your work directly impacts delivery reliability cost efficiency and customer experience at massive scale.

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 scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- PhD

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