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The Senior Manager, Applied Science owns the science mission for new GenAI products and initiatives across Alexa AI's Personalization, Autonomy and Proactive Intelligence organization, bringing together Personalization science to power Alexa experiences. You will lead a team of applied scientists to harness state of the art technologies across machine learning, natural language processing, LLM training, and application, to advance the scientific frontiers of AI personalization and autonomous intelligence. The right candidate will be an inventor at heart, provide deep scientific leadership, establish compelling technical direction and vision, and drive ambitious research initiatives that push the boundaries of what's possible with AI.You will need to be adept at identifying promising research directions, developing novel AI solutions, and translating advanced AI research into production-ready models. You will need to be adept at influencing and collaborating with partner teams, launching AI models into production, and building team mechanisms that will foster innovation and execution. This role represents a unique opportunity to tackle fundamental challenges in how Alexa understands, personalizes, and proactively assists users through state-of-the-art AI technologies.Key job responsibilities
Technical Leadership
- Lead complex research and development projects
- Partner closely with the T&C Product and Engineering leaders on the technical strategy and roadmap
- Evaluate emerging technologies and methodologies
- Make high-level architectural decisions
Research & Development
- Drive innovation in applied science areas- Author technical papers and patents
- M.S. in Computer Science, Machine Learning, or a related field.
- 10+ years experience in natural language processing, machine learning, recommendation, search, multimodal AI, or a related field.
- Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch, customer validation and scaling.
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead combined science and engineering efforts to meet timelines with optimal solutions.
Preferred qualifications
- Ph.D. in Computer Science, Machine Learning, or a related field.
- 10+ years experience in recommendations, search, natural language processing, machine learning, deep learning, Generative AI, Agentic AI or a related field.
- Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning)
- Expertise in large language models or demonstrated ability to develop this expertise quickly.
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
- Expertise in end-consumer AI experiences, ideally with learning/ experiential offerings.
- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
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