Amazon.com Services LLC
Advertising
Sr.AppliedScientist,SponsoredProducts
“Sr. Applied Scientist, Sponsored Products at Amazon.com Services LLC. Skills: Generative AI, Machine learning, Agent-based AI, LLMs. Lead science and engineering needs. Collaborate with peers”
What You'll Achieve.
Drive results at scale
Industry & Context.
Solving complex challenges
What They're Looking For.
Must Have
3+ years building ML models, PhD or Master's degree, 6+ years applied research experience, Knowledge of C++, Python, Java, or Perl, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
Experience with R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with Hadoop, Spark, Experience in search advertising, Experience in search marketing, Experience in performance advertising, Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field, Technical fluency in Generative AI, Deep understanding of LLMs, Deep understanding of model fine tuning, Deep understanding of prompt engineering
What You'll Do.
Lead science and engineering needs
Collaborate with peers
Bring scientific innovations into production
Surface qualitative and quantitative insights
Shape product direction
Ensure product-market fit
Design advanced model optimization techniques
Implement advanced model optimization techniques
Design agent optimization techniques
Implement agent optimization techniques
Design supervised fine-tuning
Implement supervised fine-tuning
Design instruction tuning
Implement instruction tuning
Design preference optimization
Implement preference optimization
Develop agentic architectures
Integrate long-horizon reasoning
Prototype multi-agent orchestration frameworks
Iterate on multi-agent orchestration frameworks
Prototype multi-agent workflows
Iterate on multi-agent workflows
Stay current with latest research
Translate findings into practical applications
How You'll Work.
Team & Collaboration
External partners; Internal partners; Peers across engineering; Peers across product
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