Applied Scientist, Geospatial & Safety Science

Amazon

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profile Job Location:

Bellevue, WA - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Amazons Last Mile Geospatial Science team leverages sate of the art computer vision generative AI and deep learning to enhance vehicle navigation and ensure safe efficient deliveries by enriching map data from billions of satellite aerial and street-level images and videos. The role involves building large-scale machine learning systems that analyze terabytes of multimodal data to solve novel problems translating business requirements into prototypes while prioritizing driver and customer safety. The team seeks scientists who can combine domain expertise with machine learning to invent and implement state-of-the-art solutions in a collaborative environment with direct business impact.

Key job responsibilities
Successful candidates should have a deep knowledge (both theoretical and practical) of various machine learning algorithms for large scale computer vision problems the ability to map models into production-worthy code the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers and the excitement to take iterative approaches to tackle big long term problems. The applied scientist should be proficient with image and video analysis using machine learning including designing architecture from scratch modify existing loss functions full model training fine-tuning and evaluating the latest deep learning models. The applied scientist optimizes different models for specific platforms including edge devices with restricted resources. Generative AI Multi-modal models e.g. Large Vision Language Models zero-shot few-shot and semi-supervised learning paradigms are used extensively.

- 3 years of deep learning computer vision human robotic interaction algorithms implementation experience
- PhD or Masters 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 developing and implementing deep learning algorithms particularly with respect to computer vision algorithms

- Experience using Unix/Linux
- Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 142800.00 - 193200.00 USD annually


Required Experience:

IC

Amazons Last Mile Geospatial Science team leverages sate of the art computer vision generative AI and deep learning to enhance vehicle navigation and ensure safe efficient deliveries by enriching map data from billions of satellite aerial and street-level images and videos. The role involves buildin...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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