Applied Scientist II: Multi-Agent AI Diagnostics

Amazon; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon in San Francisco is seeking an Applied Scientist II to design intelligent multi-agent systems for advertising campaign delivery. The role requires expertise in LLM-based agent architectures and machine learning systems, aimed at automating root cause analysis.

Key responsibilities include deep data analysis, model development, and collaborating with software engineers. Applicants should have a PhD or Master's degree with programming skills in Java, C++, or Python. The position also offers a strong benefits package including health insurance and 401(k) matching.

Qualifications

• 3+ years of building models for business application experience.
• Experience programming in Java, C++, Python or related language.
• Familiarity with algorithms and data structures, data mining, and parallel computing.

Responsibilities

• Conduct deep data analysis to derive insights for the business.
• Develop scalable and effective machine learning models.
• Run A/B experiments and perform statistical analysis.

Skills

Data analysis

Machine learning

Statistical analysis

Programming in Java, C++, Python

Education

PhD or Master's degree in CS, CE, ML or related field

Tools

Deep learning algorithms

High-performance computing

Job description

Amazon in San Francisco is seeking an Applied Scientist II to design intelligent multi-agent systems for advertising campaign delivery. The role requires expertise in LLM-based agent architectures and machine learning systems, aimed at automating root cause analysis.

Key responsibilities include deep data analysis, model development, and collaborating with software engineers. Applicants should have a PhD or Master's degree with programming skills in Java, C++, or Python. The position also offers a strong benefits package including health insurance and 401(k) matching.