Sr Applied Scientist, Last Mile Delivery Automation

Amazon.com-posted 3 months ago
$150,400 - $260,000/Yr
Full-time • Senior
Bellevue, WA
5,001-10,000 employees
General Merchandise Retailers
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As a Senior Applied Scientist for Last Hundred Yards Automation, you will be at the forefront of developing cutting-edge AI and ML solutions that power our autonomous delivery robots. This role combines deep expertise in machine learning, computer vision, and robotics to solve complex challenges in real-world autonomous navigation, obstacle detection, and dynamic path planning. You will work closely with robotics engineers, software developers, and product teams to research, design, and implement sophisticated algorithms that enable safe and efficient last-yard delivery operations. This position requires a unique blend of theoretical knowledge and practical implementation skills, with a focus on transforming research concepts into production-ready solutions that can operate reliably in diverse real-world environments.

  • Lead the development and implementation of advanced AI/ML models for autonomous navigation.
  • Focus on critical areas such as real-time object detection, semantic scene understanding, and predictive movement planning.
  • Design and conduct experiments, analyze complex datasets, and develop novel algorithms to improve robot performance and reliability.
  • Collaborate with cross-functional teams to integrate ML solutions into the robotics platform.
  • Optimize model performance for edge computing and establish metrics for continuous improvement.
  • Mentor junior scientists and contribute to research publications.
  • Stay current with latest developments in the field.
  • Develop robust ML pipelines and implement state-of-the-art deep learning architectures.
  • Create innovative solutions for challenging problems such as adverse weather navigation, multi-robot coordination, and human-robot interaction.
  • 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
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.
  • Medical benefits
  • Financial benefits
  • Equity options
  • Sign-on payments
  • Comprehensive employee benefits package
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