Amazon

Applied Scientist II, Amazon Smart Vehicles

Amazon

Bengaluru, Karnataka, India · Full Time

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Experience
3+ yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
In office
Education
PhD or Master’s degree in relevant fields
Resume
Required to apply

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Job description

About the Role

The Amazon Smart Vehicles (ASV) science team is searching for a passionate Applied Scientist with deep expertise in advanced Large Language Model (LLM) technologies. This position focuses on pioneering AI innovations that provide personalized services improving the experiences of drivers and passengers. The goal is to simplify daily tasks, offer relevant information, entertainment, productivity, and safety features during travel, directly contributing to key Amazon solutions.

Key Responsibilities

  • Utilize diverse Amazon data sources and powerful computing infrastructure to drive progress in generative AI.
  • Lead the creation of groundbreaking algorithms and models that push the boundaries of LLM technology.
  • Partner closely with multidisciplinary science and engineering teams, along with business stakeholders, to maximize the impact and speed of your work.

About the Team

Joining the ASV science team offers a unique opportunity to influence the future of AI research and applications by enhancing information-centric experiences globally. Your contributions will be reflected in innovative Amazon products powered by language and multimodal AI technologies.

Basic Qualifications

  • More than 3 years of experience developing models for business use cases.
  • PhD or a Master's degree with at least 4 years of experience in computer science, computer engineering, machine learning, or related fields.
  • Track record of patents or publications in top-tier peer-reviewed conferences or journals.
  • Proficiency in programming with Java, C++, Python, or equivalent languages.
  • Expertise in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.

Preferred Qualifications

  • Experience implementing theoretical models in practical environments.
  • Background in professional software development.

Additional Information

Amazon fosters an inclusive culture that enables all employees to deliver outstanding customer results. Candidates requiring accommodations during the recruitment and hiring process, including interview and onboarding assistance, may request support. Specific regional accommodation guidelines are provided by the company upon request.

Company: ADCI - Karnataka

Minimum education

Doctorate

Tools & software

How they work

Teamwork & Collaboration Results Orientation
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