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Executive-Level Scientist: Leading the Future of Amazon Search Experience
2 months ago
We are seeking a highly experienced Senior Principal Applied Scientist to join our Search Experience Science team at Amazon. As a technical lead, you will be responsible for the architectural design and technological advancements of our next-generation, AI-driven search and shopping assistant, Rufus.
This innovative role focuses on developing conversation-based search and shopping experiences, utilizing large language models, generative AI, and advanced machine learning technologies. You will have the opportunity to work on cutting-edge projects, collaborating with cross-functional teams to drive strategic initiatives and enhance AI-driven customer experiences.
Key Responsibilities- Design and develop integrated solutions that are efficiently implemented across all stakeholder teams, maintaining alignment in the short term while influencing long-term strategic roadmaps to support ongoing experimentation.
- Lead teams of scientists and engineers in translating business and functional requirements into concrete deliverables, driving strategic initiatives to enhance AI-driven customer experiences.
- Ensure high solution quality, focusing on accurately understanding and responding to customers through AI assistants, enhancing the speed of experiments and iterations of customer experience.
- Build scalable solutions with robust checks on human feedback, managing the complexities of customer intents, and reinforcing learning algorithms with human feedback.
- Make critical decisions on the best technical solutions for both immediate and future needs, clarify complex issues, manage trade-offs, and communicate effectively about technical challenges.
You will become part of a dynamic team comprising over 100 scientists and engineers focused on shaping the future of AI-driven shopping experiences at Amazon. This team works on every aspect of the shopping experience, from understanding user queries and planning retrievals to generating answers and delivering outstanding customer service.
The team also works on enhancing Amazon Search by improving query comprehension, mission-aware search strategies, navigation, and more.
Basic Qualifications- Graduate degree in Computer Science, Math, or a related field.
- Experience in developing large language models and reinforcement learning solutions for generative AI applications.
- Experience in developing AI, ML, and NLP systems, with a proven ability to deliver projects successfully.
- Skilled in managing large, cross-functional projects with evolving requirements from start to finish.
- Strong foundations in data structures, algorithm design, and complexity analysis.
- Ability to strategize for ML platforms focusing on recommender systems, ranking, and customer interaction features.
- Exceptional ability to understand customer needs, propose alternative technical and business solutions, and deliver on tight deadlines.
- Record of peer-reviewed scientific publications in applied science.
- Over 15 years of post-PhD research experience in machine learning.
- Strong mathematical and statistical skills.
- Profound knowledge of foundational models, including large language models across multiple modalities, reinforcement learning, supervised learning, and other cutting-edge techniques in generative AI.
- Demonstrated success in algorithm design and product development.
- Publications in top-tier conferences or journals.
- Experienced in mentoring and managing senior technical staff.
- Proven business acumen, balancing multiple aspects of projects including technology and product strategies.
- Effective communicator with diverse audiences.
- Experience with large data sets and building scalable models.
