Sr. Applied Scientist, Amazon Ads

Key job responsibilities

• Research and implement cutting-edge ML approaches, including applications of generative AI and large language models
• Develop and deploy innovative ML solutions spanning multiple disciplines – from ranking and personalization to natural language processing, computer vision, recommender systems, and large language models
• Drive end-to-end projects that tackle ambiguous problems at massive scale, often working with petabytes of data
• Build and optimize models that balance multiple stakeholder needs - helping customers discover relevant products while enabling advertisers to achieve their goals efficiently
• Build ML models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with cross-functional teams including engineers, product managers, and other scientists
• Design and run A/B experiments to validate hypotheses, gather insights from large-scale data analysis, and measure business impact
• Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience

Basic Qualifications

• 5+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.