Applied Scientist: Real-Time Ads ML & Production

Amazon Science; San Francisco (CA); Vor Ort; USD 172.000 - 222.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) matching

Paid time off

Parental leave

Zusammenfassung

Amazon Ads is seeking an Applied Scientist to advance large-scale ML models and optimization for supply-demand in a high-velocity environment. You will collaborate with engineers, PMs, and scientists to productionize models that improve advertiser outcomes and traffic monetization.

The role emphasizes rigorous experimentation, scalable data processing, and integration with product teams to deliver measurable business impact at scale.

Qualifikationen

• 3+ years building models for business application.
• PhD or Master’s with 4+ years in CS/CE/ML.
• Proficiency in Java, C++, Python or related language.

Aufgaben

• Conduct hands-on data analysis and build large-scale ML models and pipelines for supply optimization.
• Take your models end to end, from proof of concept through experimentation and deployment with production teams.
• Design and run A/B experiments and causal analysis to validate hypotheses and measure business impact.
• Research and apply advanced ML, including generative AI and large language models, to demand prediction and traffic filtering.
• Drive end-to-end optimization projects that scale across the system while preserving customer experience.

Kenntnisse

3+ years model building

Java

C++

Python

Ausbildung

PhD or MS with 4+ years CS/CE/ML

Tools

Unix/Linux

Jobbeschreibung

Amazon Ads is seeking an Applied Scientist to advance large-scale ML models and optimization for supply-demand in a high-velocity environment. You will collaborate with engineers, PMs, and scientists to productionize models that improve advertiser outcomes and traffic monetization.

The role emphasizes rigorous experimentation, scalable data processing, and integration with product teams to deliver measurable business impact at scale.