Amazon Applied Scientist GenAI OTS DataTech AI 

United States, Washington, Bellevue 

440455676

As an Applied Scientist at OTS DataTech, you will play a pivotal role in shaping the vision, roadmap, design, research, development, and deployment of AI-powered solutions. You will focus on pioneering novel research in GenAI, designing intelligent, self-service systems that integrate state-of-the-art LLMs, multi-agent systems, and human-AI interaction frameworks. You will contribute to the advancement of responsible AI, addressing challenges in AI safety, robustness, explainability, and alignment as part of building next-generation AI systems for Amazon’s global operations.Key job responsibilities
- Conduct applied research in LLMs and multi-agent systems, driving innovation from prototyping to production.
- Develop and deploy state-of-the-art Generative AI models to solve complex problems in automation, optimization, and human-AI interaction.
- Design intelligent AI agents capable of autonomous decision-making, task execution, and integration with enterprise systems.
- Apply supervised, unsupervised, and reinforcement learning to improve model performance, personalization, and adaptability.
- Lead experimentation and model evaluation to ensure robustness, safety, and real-world performance.A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 2+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Experience applying theoretical models in an applied environment
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
- Strong background in machine learning, including supervised and unsupervised learning algorithms.
- Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers.
- Knowledge of Generative AI (GenAI) and its applications.