Amazon Smart Vehicles
Research Science, Applied Science, alexa and amazon devices
AppliedScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II at Amazon Smart Vehicles. Skills: LLM, Generative AI, Machine Learning. Leverage Amazon’s data sources. Leverage large-scale computing resources”
Industry & Context.
What They're Looking For.
Must Have
3+ years building models, Master's degree and 4+ years experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
PhD preferred, Experience applying theoretical models, Experience in professional software development
What You'll Do.
Leverage Amazon’s data sources
Leverage large-scale computing resources
Accelerate advances in generative artificial intelligence
Lead development of novel algorithms
Lead development of modeling techniques
Advance the state of the art with LLMs
Collaborate with science teams
Collaborate with engineering teams
Collaborate with business stakeholders
Maximize velocity of contributions
Maximize impact of contributions
How You'll Work.
Team & Collaboration
Science and engineering teams; Business stakeholders
Full Job 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 Mast
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