Applied Scientist-II, Amazon Music - Search Science, Amazon Music – Search Science
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
The Amazon Music Search Science team is seeking an innovative and driven Applied Scientist to join their engineering and science hub in Bangalore. This role involves designing, developing, and deploying end-to-end machine learning systems for search and discovery, utilizing advanced AI and modeling techniques.
Responsibilities
- Design, build, train, and evaluate production-grade ML models using classical machine learning, deep learning, LLMs, and Agentic AI techniques.
- Take algorithms from research ideation to production deployment, building scalable data pipelines, efficient model-serving systems, and robust evaluation frameworks.
- Design and analyze large-scale A/B experiments to measure impact on search relevance, engagement, and customer satisfaction.
- Research and implement novel statistical and machine learning approaches for multi-modal understanding and advanced retrieval.
- Communicate findings, architectural decisions, and technical roadmaps to technical peers and executive stakeholders.
Requirements
- PhD, or Master’s degree and 4+ years of relevant experience in Computer Science, Computer Engineering, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of hands-on experience building machine learning models or algorithms for business applications and deploying them into production.
- Strong programming skills in Python, Java, C++, or related languages, with a solid foundation in data structures, algorithms, and object-oriented design.
- Experience in one or more of the following areas: Information Retrieval, Natural Language Processing (NLP), Recommender Systems, Deep Learning, or Numerical Optimization.
- Demonstrated ability to work effectively with cross-functional teams in a fast-paced environment.
Desired Qualifications
- Experience with large-scale distributed computing frameworks and big data systems (e.g., Spark, Hadoop, AWS infrastructure).
- Experience building search ranking, query understanding, or semantic retrieval systems for high-scale consumer applications.
- Familiarity with modern foundation models, LLMs, fine-tuning techniques, and efficient inference optimization for production services.
- Track record of peer-reviewed publications or patents at top-tier machine learning/AI conferences (e.g., NeurIPS, KDD, ACL, SIGIR, ICML).
- Experience in designing, executing, and evaluating rigorous online A/B experiments.
- Experience using Unix/Linux.
Benefits
- Inclusive culture that empowers Amazonians to deliver the best results for customers.
- Support for workplace accommodations for individuals with disabilities during the application and hiring process.
#Amazon Music#Search Science#Applied Science
Company
Amazon
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Master, Doctoral
Applicants
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