Senior Applied Scientist , Sponsored Products

Amazon Amazon · Big Tech · NY +1 · Machine Learning Science

Senior Applied Scientist role focused on leveraging generative AI and ML to revolutionize advertising experiences within Amazon Ads. The role involves leading full lifecycle ML projects, from research and development to deployment and scaling, with a focus on enhancing customer shopping experiences and driving business monetization through predictive modeling, reinforcement learning, and experimentation.

What you'd actually do

  1. Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
  2. Lead technical efforts within this team and across other teams.
  3. Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
  4. Run A/B experiments, gather data, and perform statistical analysis.
  5. Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.

Skills

Required

  • building machine learning models
  • PhD or Master's degree and 6+ years of applied research experience
  • Java
  • C++
  • Python
  • neural deep learning methods
  • machine learning

Nice to have

  • modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • large scale distributed systems such as Hadoop, Spark etc.

What the JD emphasized

  • building machine learning models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Other signals

  • generative AI technologies
  • revolutionizing how millions of customers discover products
  • transform every aspect of the advertising lifecycle
  • develop responsible and intelligent AI technologies
  • complex engineering, optimization, econometric, and user-experience problems
  • ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering
  • creating new ads experience that elevates the shopping experience
  • technical leader in Machine Learning
  • drive full life-cycle Machine Learning projects
  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
  • Research new machine learning approaches