Senior Applied Scientist

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI.

Key Responsibilities

1. Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
2. Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
3. Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.
4. Engage in effective technical communication (written & spoken) with coordination across teams.
5. Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.
6. Publish research papers in internal and external venues of repute.
7. Support on-call activities for critical issues.

Basic Qualifications

1. Master's or PhD in computer science, statistics or a related field.
2. 5+ years experience in deep learning, machine learning, and data science.
3. Proficiency in coding and software development, with a strong focus on machine learning frameworks.
4. Experience in Python, or another language; command line usage; familiarity with Linux and AWS ecosystems.
5. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
6. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.
7. Papers published in AI/ML venues of repute.

Preferred Qualifications

1. Track record of diving into data to discover hidden patterns and conducting error/deviation analysis.
2. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
3. The motivation to achieve results in a fast-paced environment.
4. Exceptional level of organization and strong attention to detail.
5. Comfortable working in a fast paced, highly collaborative, dynamic work environment.

About the Team

The team works on building Responsible AI alignment techniques for the Large Language Model (LLM) that drives Alexa+. We work on recent advances in LLM science including automated prompt optimisation, supervised fine tuning, reinforcement learning, model distillation, retrieval augmented generation, model & prompt interpretability and LLM driven data generation. The techniques are used to tune a foundational model to align with Alexa's policies on Responsible AI across dimensions of Appropriateness, Safety, Security, Privacy and Fairness. We focus on building cross-lingual methods to support 100s of millions of Alexa customers across the world speaking 15+ languages. A scientist on the team works on the following - a) running experiments to evaluate promising ideas to achieve a customer experience goal; b) Identify a research theme and follow recent advances in the space (papers/articles); c) collaborate with other scientists (within and outside team) to identify a science direction to solve a problem; d) publish papers in peer-reviewed conferences & journals of repute; e) Collaborate with faculty members in Indian academia (e.g. IIT-B).

The team's work was part of the Alexa+ launch announcement: