Applied Scientist II Amazon Smart Vehicles

Amazon Science

Bengaluru

On-site

INR 2,500,000 - 5,000,000

Full time

10 days ago

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Benefits offered by this job

Amazon culture

Job summary

Amazon Science in Bengaluru is seeking an Applied Scientist with deep expertise in advanced LLM technologies. You will push the boundaries of GenAI and NLP to create personalized, on-road experiences for drivers and passengers, aligning research with production goals.

You will work with cross-functional teams to deliver impactful research, maintain independence in decision-making, and drive ambitious initiatives from concept to production.

Qualifications

  • 3+ years building models for business applications.
  • PhD or Master + 4+ years in CS/CE/ML or related field.
  • Publications or patents in top-tier venues.
  • Proficient in Java, C++, or Python.
  • Experience in algorithms, data structures, parsing, optimization, data mining, HPC.

Responsibilities

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

Skills

GenAI
NLP
ML
Java
C++
Python
Algorithms & DS
Parallel computing
Distributed computing

Education

PhD
Master's degree

Job description

Job Description:

Description

The 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Requirements:

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