Applied Scientist, Geospatial & Safety Science

Amazon • Bellevue, WA

1d

About The Position

Amazon's 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.

Requirements

• 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Nice To Haves

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

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
• 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree