Amazon Applied Scientist Amazon 

United States, Washington, Seattle 

455101493

The types of initiatives you can expect to work on include:- Creating high quality educational content leveraging complex AI techniques to simplify complex product information.
- Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scaleIn this role, you will be able to dive deep into data, discovering root causes, and designing both short-term and long-term solutions. This candidate will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI.Key job responsibilities- Develop data architectures, NLP algorithms, and machine learning, deep learning, and Generative AI solutions,
- Use ML tools to annotate data, develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure,
- Leverage AWS AI services and other internal / publicly available external tools & services,
- Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement,
- Analyze and extract relevant information from large amounts of historical data — provide hands-on data wrangling expertise,
- Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency,Seattle, WA, USA

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- 1+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- 1+ years of programming in Java, C++, Python or related language experience
- 1+ years of hands-on predictive modeling and large data analysis experience

- 3+ years of building machine learning models or developing algorithms for business application experience
- 3+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience in patents or publications at top-tier peer-reviewed conferences or journals