Applied Scientist - Large-Scale ML for Ads Optimization

Amazon Inc.; Seattle (WA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in San Francisco seeks an Applied Scientist to own the science for supply-optimization models from framing to production, partnering with engineers and product managers to tie science to advertiser outcomes.

The role emphasizes large-scale ML, generative AI, and causal analysis to deliver measurable business impact while collaborating with a fast-paced team that values action and experimentation.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.

Responsibilities

• 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, optimization, and deployment into production, working closely with software engineers to productionize them and with product managers and fellow scientists along the way.
• Design and run A/B experiments and causal analysis to validate hypotheses, draw insights from petabyte-scale data, and measure real 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 tackle ambiguous problems at massive scale, developing scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience.

Skills

Java

C++

Python

Algorithms

Education

PhD or Master’s in CS/CE/ML or related field

Tools

Unix/Linux

Job description

Amazon.com Services LLC in San Francisco seeks an Applied Scientist to own the science for supply-optimization models from framing to production, partnering with engineers and product managers to tie science to advertiser outcomes.

The role emphasizes large-scale ML, generative AI, and causal analysis to deliver measurable business impact while collaborating with a fast-paced team that values action and experimentation.