Principal Applied Scientist, Alexa Conversational Modelling IntelligenceDESCRIPTION
You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.
You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship, and leadership development. You will be technically fearless and have a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
About the team
The Alexa Conversational Modelling Intelligence team is looking for a passionate, talented, and inventive Principal Scientist to help build industry-leading LLM-based conversational technologies that customers love. Our mission is to push the envelope in LLMs for Alexa, in order to provide the best-possible customer experience for our customers.
BASIC QUALIFICATIONS
PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science.
10+ years of combined academic and research experience with a strong publication record in top-tier journals and conferences.
Functional thought leader, sought after for key tech decisions.
Can successfully sell ideas to an executive-level decision maker.
Mentors and trains the research scientist community on complex technical issues.
Experience developing software in traditional programming languages (Python, Java, etc.).
Excellent written and spoken communication skills.
PREFERRED QUALIFICATIONS
10+ years of experience building and deploying innovative NLP solutions at scale.
Expert level skills focusing on Large-language-Models.
Demonstrated experience in training LLMs through PT, SFT, and LHF backed by top-tier publications.
Published research work in academic conferences or industry circles in NLP top tier conferences.
Experience delivering complex end-to-end global NLP solutions that run at very large scale.
Experience working with real-world data sets and building scalable models from big data.
Thinks strategically, but stays on top of tactical execution.
Exhibits excellent business judgment; balances business, product, and technology very well.
This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics, and business teams. This person will have very sound judgment and be able to recruit and groom high caliber talent.
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