Ad Demand Forecasting ML Scientist & Guidance

Amazon; San Francisco (CA); On-site; USD 171,600 - 222,200; Full time

Benefits offered by this job

Health Insurance

401(k) matching

Paid time off

Parental leave

Job summary

A leading technology company in San Francisco is seeking an Applied Scientist for Amazon Ads. The role involves leading machine learning initiatives to enhance ad delivery accuracy. Candidates should have 3+ years of model building experience and a relevant advanced degree. Familiarity with Java, C++, or Python and deep learning frameworks is preferred. Comprehensive benefits include health insurance and competitive salaries ranging from $171,600 to $222,200 annually.

Qualifications

• 3+ years of experience building models for business applications.
• PhD, or Master’s with 4+ years of relevant experience.
• Experience with statistical analysis and designing experiments.

Responsibilities

• Lead end-to-end ML initiatives from problem formulation to production.
• Develop and optimize forecasting models for ad delivery.
• Establish scalable ML infrastructure for data processing and model serving.

Skills

Model building for business applications

Programming in Java, C++, or Python

Algorithms and data structures

Statistical analysis and experiment design

Education

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

Tools

Deep learning frameworks (MXNet, TensorFlow)

Job description

A leading technology company in San Francisco is seeking an Applied Scientist for Amazon Ads. The role involves leading machine learning initiatives to enhance ad delivery accuracy. Candidates should have 3+ years of model building experience and a relevant advanced degree. Familiarity with Java, C++, or Python and deep learning frameworks is preferred. Comprehensive benefits include health insurance and competitive salaries ranging from $171,600 to $222,200 annually.