Applied Scientist: Real-Time Bidding & Experimentation

Amazon Inc.

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

7 days ago
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Job summary

Amazon.com Services LLC is hiring an Applied Scientist II to advance bidding science and experimentation for our real-time advertising platform. You will build ML models, run online experiments, and collaborate with engineers to productionize solutions.

You have 3+ years building models for business use, and a PhD or MS with 4+ years in CS/ML. Proficiency with Java, C++, or Python is required, with strong fundamentals in algorithms and data structures.

Qualifications

  • 3+ years of building models for business applications.
  • Experience with ML methods and online experimentation.
  • Strong programming in Java, C++, or Python.

Responsibilities

  • Be a technical leader in ML, optimization, and causal inference and drive full life-cycle projects.
  • Build machine learning models, run proof-of-concept, experiment, optimize, and deploy to production.
  • Develop algorithms for online optimization, bandits, and reinforcement learning and productionize them.
  • Develop, design, and run A/B experiments, gather data, and perform statistical analysis.
  • Establish scalable, automated processes for monitoring and feedback.
  • Collaborate with software engineers to productionize work.
  • Research new ML and optimization approaches.
  • Recruit and mentor scientists on the team.

Skills

Modeling experience
Programming languages
Algorithms & data structures

Education

PhD or MS + 4 years CS/CE/ML

Job description

Amazon.com Services LLC is hiring an Applied Scientist II to advance bidding science and experimentation for our real-time advertising platform. You will build ML models, run online experiments, and collaborate with engineers to productionize solutions.

You have 3+ years building models for business use, and a PhD or MS with 4+ years in CS/ML. Proficiency with Java, C++, or Python is required, with strong fundamentals in algorithms and data structures.

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