Applied Scientist II, Amazon Smart Vehicles

Amazon Science; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Amazon Science's ASV team in Bengaluru seeks an Applied Scientist with deep expertise in advanced LLM technologies to advance GenAI-powered experiences for drivers and passengers. You will work across AI research to production, driving ambitious initiatives with independence and collaboration.

You will collaborate with science and engineering teams to deliver impactful language and multimodal solutions, with a strong background in NLP/ML and evidence from research publications or patents valued.

Qualifications

• 3+ years of building models for business applications.
• PhD, or a Master’s degree in CS, CE, ML or a related field.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, optimization, data mining, parallel and distributed computing.

Responsibilities

• Leverage heterogeneous data sources and large-scale computing for GenAI advances.
• Lead development of novel algorithms and modeling techniques for LLMs.
• Collaborate with science, engineering, and business teams to maximize impact.

Skills

LLMs

NLP

ML

GenAI

Education

PhD or Master's in CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.

Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.

This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers' and passengers' experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products.

If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency.

Key job responsibilities

• Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)
• Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs
• Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions

About The Team

This is an exciting moment to lead in AI research and application. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience applying theoretical models in an applied environment
• Experience in professional software development

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