Alexa+ is Amazon’s 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.
Key Job Responsibilities
* Lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience.
* Set examples for the team on good science practice and standards.
* Work closely with engineers and ML scientists to put algorithms and models into practice, directly impacting the trust customers place in Alexa globally.
* Hire and build high-performing scientific teams, adjusting in an agile fashion to deliver what our customers need.
A day in the life
You will work with a group of talented scientists on researching algorithms and running experiments to test scientific proposals/solutions to improve our sensitive contents detection and mitigation. The role involves 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, and help develop roadmap for the team, working closely with partner teams across Alexa to deliver platform features that require cross‑team leadership.
About the team
The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimise 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 such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarising content, and religiously polarising 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.
Basic Qualifications
* 4+ years of building machine learning models for business application experience
* PhD, or Master’s degree and 6+ years of applied research experience
* Knowledge of programming languages such as C/C++, Python, Java or Perl
* Experience programming in Java, C++, Python or related language
* Experience with neural deep learning methods and machine learning
Preferred Qualifications
* Experience with modelling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.
* PhD
Inclusive culture and accommodations
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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