Senior Applied Scientist - Autonomous Delivery ML

Amazon; Bellevue (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon seeks a Senior Applied Scientist to drive innovation in machine learning and AI for its autonomous delivery systems. You will develop novel algorithms and models powering perception, prediction, and decision-making for autonomous vehicles, blending rigorous science with practical engineering.

In this role you will lead research, translate concepts into production solutions, mentor junior scientists, and collaborate with engineering teams to optimize performance and safety in real-world

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Design and develop advanced ML models and algorithms for autonomous vehicle systems.
• Lead research initiatives in CV, sensor fusion, behavioral prediction, and path planning.
• Translate research concepts into production-ready solutions with safety and performance in mind.
• Collaborate with engineering teams to integrate ML into the autonomous vehicle stack.
• Publish research findings and mentor junior scientists.

Skills

Machine learning

Deep learning

Python

Java

C++

Education

PhD in a relevant field

Master's + 6+ years applied research

Tools

TensorFlow

scikit-learn

Spark MLlib

MxNet

Numpy

SciPy

Hadoop

Spark

Job description

Amazon seeks a Senior Applied Scientist to drive innovation in machine learning and AI for its autonomous delivery systems. You will develop novel algorithms and models powering perception, prediction, and decision-making for autonomous vehicles, blending rigorous science with practical engineering.

In this role you will lead research, translate concepts into production solutions, mentor junior scientists, and collaborate with engineering teams to optimize performance and safety in real-world