Senior ML Scientist - Generative AI for Ads

Amazon Inc.; Palo Alto (CA); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Inc. is seeking a Machine Learning Applied Scientist for the Sponsored Products and Brands team in Palo Alto.

You will build scalable ML models, run experiments, and partner with engineers to deploy end-to-end solutions across advertising products. You will explore GenAI approaches to optimize ad serving, perform data analyses to derive business insights, and contribute to production systems handling large-scale data.

Qualifications

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

Responsibilities

• Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
• Develop scalable and effective machine-learning models and optimization strategies to solve business problems
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving
• Conduct research on new machine-learning modeling and Generative AI solutions to optimize all aspects of Sponsored Products and Brands business

Skills

3+ years ML model development

Deep learning experience

Education

PhD

Master's degree plus 6+ years applied research

Tools

Java

C++

Python

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon Inc. is seeking a Machine Learning Applied Scientist for the Sponsored Products and Brands team in Palo Alto.

You will build scalable ML models, run experiments, and partner with engineers to deploy end-to-end solutions across advertising products. You will explore GenAI approaches to optimize ad serving, perform data analyses to derive business insights, and contribute to production systems handling large-scale data.