We are a part of Amazon Alexa Devices organization with the mission “delight
customers through contextual and personalized proactive experiences that keep
customers informed, engaged, and productive without cognitive burden”.
We are developing an advanced system using Large Language Model (LLM)
technologies to deliver engaging, intuitive, and adaptive content
recommendations across all Amazon surfaces. We aim to facilitate seamless
reasoning and customer experiences, surpassing the capabilities of previous
machine learning models. We are looking for a passionate, talented, and
resourceful Applied Scientist in the field of Natural Language Processing (NLP),
Recommender Systems and/or Information Retrieval, to invent and build scalable
solutions for a state-of-the-art context-aware speech assistant. A successful
candidate will have strong machine learning background and a desire to push the
envelope in one or more of the above areas. The ideal candidate would also enjoy
operating in dynamic environments, be self-motivated to take on challenging
problems to deliver big customer impact, shipping solutions via rapid
experimentation and then iterating on user feedback and interactions.
Key job responsibilities
As an Applied Scientist on the team, you will collaborate with other applied
scientists and engineers to develop novel algorithms to enable timely, relevant
and delightful recommendations and conversations. Your work will directly impact
our customers in the form of products and services that make use of various
machine learning, deep learning and language model technologies. You will
leverage Amazon’s heterogeneous data sources and large-scale computing resources
to accelerate advances in the state of art.
