Amazon Principal Applied Scientist Gen AI Solutions Amazon 

United States, Washington, Seattle 

529817216

We seek a strong technical leader with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.Key job responsibilities
As a Principal Applied Scientist, you will have deep expertise in machine learning and data science, with specialties in large language models, reinforcement learning, supervised learning, and generative AI across various modalities. This role involves aligning solutions with multiple partners including product teams, experience design and foundational model teams. You will lead teams of scientists and engineers in translating business and functional requirements into concrete deliverables, driving strategic initiatives to enhance Gen AI driven advertiser experiences.Your responsibilities include designing 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. You will ensure high solution quality, focusing on accurately understanding and responding to stakeholders, enhancing the speed of experiments and iterations of advertiser experience.Additionally, this role involves building scalable solutions with robust checks on human feedback, managing the complexities of user intents, and reinforcing learning algorithms with human feedback. You will 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.Finally, you will work with academic partners to enhance our team's capabilities by accessing the latest research and expert mentoring, ensuring our approaches remain cutting-edge.

1. PhD degree in Computer Science, Math, or a related field.
2. Experience in developing large language models and reinforcement learning solutions for generative AI applications.
3. Experience in developing AI, ML, and NLP systems, with a proven ability to deliver projects successfully.
4. Skilled in managing large, cross-functional projects with evolving requirements from start to finish.
5. Strong foundations in data structures, algorithm design, and complexity analysis.
6. Ability to strategize for ML platforms focusing on recommender systems, ranking, and customer interaction features.
7. Exceptional ability to understand customer needs, propose alternative technical and business solutions, and deliver on tight deadlines.
8. Record of peer-reviewed scientific publications in applied science.

1. Over 10 years of post-PhD research experience in machine learning.
2. Strong mathematical and statistical skills.
3. Profound knowledge of foundational models, including large language models across multiple modalities, reinforcement learning, supervised learning, and other cutting-edge techniques in generative AI.
4. Demonstrated success in algorithm design and product development.
5. Publications in top-tier conferences or journals.
6. Experienced in mentoring and managing senior technical staff.
7. Proven business acumen, balancing multiple aspects of projects including technology and product strategies.
8. Effective communicator with diverse audiences.
9. Experience with large data sets and building scalable models.