The AI Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager 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 global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders.
We are looking for an Applied Science Manager who will play a key role in the next generation of AI powered Conversational Assistants.
Key job responsibilities
* Lead and manage a team of Applied and Research/Data scientists responsible for building conversational assistants.
* Collaborate with cross-functional teams to build methods to align Amazon’s LLMs with human preferences.
* Identify and prioritize research opportunities that have the potential to significantly impact our AI systems.
* Mentor and guide team members to achieve their career goals and objectives.
* Communicate research findings and progress to senior leadership and stakeholders.
* Rapidly experiment and drive productisation to deliver customer impact.
* Drive academic partnership with top tier Indian university as part of the org’s AI/ML Center initiative.
* Participate in and drive science publications in peer-reviewed venues of repute.
About the team
The AI Domains team's vision is to build world-class AI-based services to improve conversational CX across endpoints, modalities, and locales. Our leading solutions empower Domains and Horizontal CX owners to rapidly scale and optimize their experiences. We are part of the Conversational Assistant (CAS) org, the Sciences org that builds and maintains products such as Alexa and Alexa+. We are pioneering Gen AI revolution rapidly, iterating to deliver high quality Gen AI enabled customer experience. Come join us to invent the future for our customers!- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
- Familiarity with large-scale data processing and storage systems.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced, collaborative environment- 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 and Experience with building applications using Large language models
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks
- Experience with learning multimodal LLMs and Gen AI
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