Amazon Principal Applied Scientist Search Engine Technologies 

United States, California, Palo Alto 

189093629

We’re seeking an Applied Scientist with a deep expertise in matching and ranking systems. Your responsibilities will include everything from developing and prototyping innovative retrieval systems with NLP and Transformer, query planning, deep learning to operating and optimizing a scalable distributed inference solutions in a production environment. We are looking for innovators who can contribute to advancing search technology on what’s scientifically possible while remaining committed to creating world-class products.
Key job responsibilities
* Act as the technical leader in Machine Learning, Information Retrieval, and drive full life-cycle Machine Learning projects.* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
* Run A/B experiments, gather data, and perform statistical tests.
* Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving.
* Work closely with junior scientists, software engineers and product managers to assist in productizing your ML models.
* Establish new research initiatives to shape our long-term science vision.
* Act as a mentor to other Scientists on the team.Palo Alto, CA, USA

- PhD in CS, Statistics, or a related discipline
- 8+ years of experience in industry, consulting, government, or academic research.
- Effective verbal and written communications skills
- Track record of thought leadership and contributions that have advanced the field.
- Strong skills in collaboration and teamwork
- Strong record of delivery in industry and academic contexts using Machine Learning