Senior Applied Scientist, Conversational Modelling and Intelligence, Alexa
DESCRIPTION
The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact.
As a Senior Scientist within Alexa, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.
You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.
Key job responsibilities
As a Senior Applied Scientist, you will lead the development of innovative solutions to large and complex problems. You will use your technical expertise to develop and deploy novel algorithms and modelling solutions in collaboration with other scientists and engineers.
You will analyse customer behaviours and define metrics to enable the identification of actionable insights and measure improvements in customer experience.
You will communicate results and insights to both technical and non-technical audiences, including through presentations and written reports and external publications.
You will mentor and guide junior scientists and contribute to the overall growth and development of the team
BASIC QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research
- Experience programming in Java, C++, Python or related language
- Strong track record of patents and publications.
PREFERRED QUALIFICATIONS
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
- Experience in building LLMs including SFT, LHF.
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