Applied Scientist II, Amazon Smart Vehicles

Amazon Inc.; Asti; Ibrido; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Amazon’s ASV team seeks an Applied Scientist II to push the boundaries of large language models and multimodal AI for driver and passenger experiences. You will transform research into practical, real-time services powering Amazon products and in-vehicle experiences.

The role requires independence in decision-making, collaboration with cross-functional teams, and a track record of delivering impactful research to production environments. Strong coding in Java, C++, and Python is essential.

Competenze

• 3+ years of building models for business applications.
• PhD, or MS with 4+ years in CS, CE, ML or related field.
• Publications or patents in top-tier venues.
• Proficiency in Java, C++, Python.
• Experience with algorithms, data structures, numerical optimization, data mining, parallel and distributed computing.

Mansioni

• Leverage data sources and compute resources to accelerate GenAI advances.
• Lead development of novel algorithms and modeling techniques for LLMs.
• Collaborate with science, engineering and business teams to maximize impact and velocity.

Conoscenze

Model development

ML research

Java

C++

Python

Algorithms & data structures

Publications/patents

Formazione

MS/PhD in CS/CE/ML

Descrizione del lavoro

Applied Scientist II, Amazon Smart Vehicles

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.