Applied Scientist II, Advertising Trust

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

Amazon Advertising's Applied Scientist II will advance machine learning systems to evaluate advertising content at scale, balancing accuracy, latency, and cost. This role involves end-to-end ownership of scientific problems, from model building to production deployment, utilizing modern ML and large language model techniques.

Responsibilities

Design, build, and ship ML models and systems that classify and evaluate content accurately and efficiently at scale.
Translate ambiguous business and policy problems into well-scoped scientific problems with clear success metrics.
Apply and adapt modern techniques — including deep learning, representation learning, and large/small language models — to production problems under real latency and cost constraints.
Own the full model lifecycle: data, training, evaluation, deployment, monitoring, and retraining in response to drift and changing requirements.
Define evaluation methodology and the metrics that matter (precision, recall, cost of error, latency), and defend trade-offs with evidence.
Collaborate with engineering and product partners to integrate models into live systems, and mentor junior scientists.

Requirements

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 or scripting language like Python, Java, C or C++
Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Desired Qualifications

Have publications at top-tier peer-reviewed conferences or journals
Experience with machine learning techniques for fast and accurate extraction of visual features of humans (i.e. shape, pose, segmentation) from photographs

Benefits

Inclusive culture empowers Amazonians to deliver the best results for our customers.
Workplace accommodation or adjustment for individuals with disabilities during the application and hiring process.

Skills

PythonJavaC++C

#Applied Science

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