Key job responsibilities
As a Senior Applied Scientist in Amazon Ads, you will:
- Conduct hands-on data analysis, build large-scale machine-learning models and pipelines
- 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.
- Research and implement ML approaches, including applications of generative AI and large language models.
- Drive end-to-end optimization projects that tackle ambiguous problems at massive scale, often working with petabytes of data.
- Provide technical leadership, research new machine learning approaches to drive continued scientific innovation
- Build supply optimization models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
- 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually
