Senior Applied Scientist, Amazon Music - Search Science
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Mjukvaruutveckling
I korthet
Amazon Music's Search Science team seeks a Senior Applied Scientist in Bangalore to lead core scientific initiatives for search and content discovery. This role involves defining and executing the applied science roadmap, leveraging machine learning and foundation models to impact millions of customers globally, and driving innovation in search relevance, personalization, and semantic intelligence.
Ansvarsområden
- Define and execute the technical and scientific roadmap for music search systems, making critical architectural decisions.
- Lead the design and implementation of state-of-the-art machine learning solutions leveraging deep learning, LLMs, and agentic workflows.
- Partner closely with product management, engineering leaders, and peer teams to harmonize technical direction.
- Drive engineering and scientific excellence across the team by conducting rigorous design reviews and establishing modeling best practices.
- Establish robust scientific processes for large-scale data analysis, offline model validation, and online A/B experimentation.
- Author strategic whitepapers and executive-level documentation, communicating complex technical options to senior leadership.
Krav
- PhD, or Master’s degree and 6+ years of applied research and industrial machine learning experience in Computer Science, Machine Learning, or a related field.
- 3+ years of specialized experience designing, building, and scaling machine learning models for core production business applications (e.g., Search, Recommendation Systems, or Large-Scale Information Retrieval).
- Expert programming proficiency in Python, Java, C++, or related languages.
- Deep familiarity with neural network architectures and deep learning frameworks.
- Proven track record of owning end-to-end technical deliverables from problem formulation to production deployment.
- Demonstrated leadership in mentoring technical talent and driving engineering/scientific best practices.
Önskade kvalifikationer
- Deep expertise in search retrieval, query understanding, ranking algorithms, and large-scale vector search/embedding systems.
- Experience building applied science solutions on top of foundation models, large language models (LLMs), or multi-modal architectures.
- Experience with large-scale distributed training and inference optimization on cloud infrastructure (AWS).
- A strong publication record or patent portfolio in top-tier peer-reviewed venues (e.g., NeurIPS, SIGIR, KDD, ACL, ICML).
- Experience designing and interpreting complex online experimentation frameworks for consumer-facing recommendation or search products.
Förmåner
- Inclusive culture empowering Amazonians to deliver the best results.
- Workplace accommodation and adjustment for individuals with disabilities during the application and hiring process.
#Applied Science#Search Science#Amazon Music
Företag
Amazon
Publicerade jobb
för 1 vecka sedan
Anställningstyp
Heltid
Arbetsform
På plats
Erfarenhetsnivå
Senior
Platser
Bengaluru, India
Kvalifikation
Masterexamen, Doktorand
Sökande
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