Principal Applied Scientist, GenAI Ad Allocation & Ranking

Amazon; San Francisco (CA); On-site; USD 218,800 - 295,900; Full time

Benefits offered by this job

Comprehensive health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A global technology company is seeking a Principal Applied Scientist to lead the development of generative AI solutions for ad allocation and ranking. You will design innovative architectures to optimize ad placements while ensuring efficiency. The role requires a PhD and over 8 years of experience in machine learning, particularly in large-scale applications. Join a team that values research and empowers you to transform how ads connect with customer behavior.

Qualifications

• 8+ years of experience applying machine learning to solve complex problems.
• Experience with large-scale applications and generative AI architectures.

Responsibilities

• Design and develop generative AI architectures for ad allocation.
• Lead research initiatives using large language models.
• Collaborate with cross-functional teams to integrate GenAI solutions.

Skills

Machine learning

Generative AI

Statistical modeling techniques

Leadership

Problem definition

Education

PhD in Computer Science, Applied Mathematics, or Statistics

Job description

A global technology company is seeking a Principal Applied Scientist to lead the development of generative AI solutions for ad allocation and ranking. You will design innovative architectures to optimize ad placements while ensuring efficiency. The role requires a PhD and over 8 years of experience in machine learning, particularly in large-scale applications. Join a team that values research and empowers you to transform how ads connect with customer behavior.