Senior Applied Scientist, Alexa Ads
Job Summary
Key job responsibilities
- Define the scientific vision and lead the technical execution for complex multi-quarter ML projects in conversational ads and personalization.
- Architect end-to-end machine learning systems that operate at Alexas massive scale.
- Mentor and guide junior scientists on modeling techniques experimental design and best practices.
- Partner closely with product and engineering stakeholders to translate ambiguous business requirements into rigorous scientific problem statements.
- Contribute to the broader scientific community through internal technical papers and external publications.
- 6 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience debugging profiling and implementing best software engineering practices in large-scale systems
- Experience with and deep understanding of advertising technologies (i.e. ad server DSP)
- Experience building large-scale machine learning models and infrastructure for online recommendation ads ranking personalization or search
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Required Experience:
Senior IC
Key Skills
About Company
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