Senior Applied Scientist Job at Amazon (Bengaluru)

Senior Applied Scientist

Amazon

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Alexa International is looking for passionate, talented, and inventive Senior Applied Scientists to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Senior applied scientists will drive cross-team scientific strategy, influence partner teams, and deliver solutions that have broad impact across Alexa's international products and services.

Job Responsibility:

Analyze, understand, and model customer behavior and the customer experience based on large-scale data
Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants
Fine-tune/post-train LLMs using advanced and innovative techniques like SFT, DPO, Reinforcement Learning (RLHF and RLAIF) for supporting model performance specific to a customer’s location and language
Quickly experiment and set up experimentation framework for agile model and data analysis or A/B testing
Contribute through industry-first research to drive innovation forward
Drive cross-team scientific strategy and influence partner teams on LLM evaluation frameworks, post-training methodologies, and best practices for international speech and language systems
Lead end-to-end delivery of scientifically complex solutions from research to production, including reusable science components and services that resolve architecture deficiencies across teams
Serve as a scientific thought leader, communicating solutions clearly to partners, stakeholders, and senior leadership
Actively mentor junior scientists and contribute to the broader internal and external scientific community through publications and community engagement

Requirements:

PhD, or Master's degree and 10+ years of applied research experience
5+ years of building machine learning models for business application experience
Experience with neural deep learning methods and machine learning
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Deep expertise in state-of-the-art LLM architectures, training, evaluation, and post-training techniques (SFT, DPO, RLHF, RLAIF)

Nice to have:

Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in professional software and systems development

Additional Information:

Job Posted:
March 20, 2026

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