Applied Scientist II, Amazon Search
Skills
About the role
This is a full-time Applied Scientist II role in Bengaluru working on search quality, query understanding, semantic matching, and ranking. You'll develop multilingual machine-learning and deep-learning systems that help customers find products quickly across Amazon's global shopping experience. The role takes science projects from problem definition through production launch under strict precision, recall, and latency requirements.
What you’ll do
- Build models that improve search-result relevance.
- Train bi-encoder, cross-encoder, and distilled ranking models.
- Develop reinforcement-learning and reward-modeling methods for search quality.
- Create ranking systems balancing diversity, specificity, and relevance.
- Optimize models through distillation, quantization, and efficient inference.
- Lead science projects from formulation to production with engineering and science partners.
What they’re looking for
- At least three years building machine-learning models for business applications.
- A PhD or master's degree.
- Patents or publications in leading peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language.
- Knowledge of algorithms, data structures, parsing, numerical optimization, data mining, distributed computing, or high-performance computing.
Nice to have
- Unix or Linux experience.
- Professional software-development experience.
What’s on offer
- Full-time permanent employment in Bengaluru, India.
- Work on search results and autocomplete across Amazon locales and supported languages.
- Accommodation support is available during hiring for candidates with disabilities.
Questions about this role
Where is the Amazon Search scientist role based?
The role is based in Bengaluru, India.
How much experience is required?
At least three years of experience building machine-learning models for business applications is required.
What search problems will the role address?
The work covers query understanding, semantic matching, ranking, search-result quality, and autocomplete.
What education is requested?
The posting asks for a PhD or master's degree.
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