Senior Applied Scientist - Robotics ML & Learning

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

Job summary

Amazon Industrial Robotics seeks an Applied Scientist III to develop and deploy ML systems that enable robots to learn from real-world fleet data and continuously improve performance. You will collaborate with robotics teams, software engineers, and operations, delivering robust algorithms and scalable ML infrastructure.

You will design, implement, and evaluate reinforcement learning, anomaly detection, and predictive maintenance solutions, pushing academia-grade research into production-grade

Qualifications

• PhD or MS with extensive ML production experience
• Proven ability to deploy ML models to production at scale
• Strong foundations in ML, statistics, deep learning or NLP

Responsibilities

• Identify new scientific approaches for continuous learning and fleet optimization
• Lead design and delivery of ML pipelines and predictive maintenance in production
• Build ML models including reinforcement learning, anomaly detection and fleet optimization

Skills

Java

C++

Python

Applied ML

Deep Learning

NLP

Statistics

Information Retrieval

ML Production

Education

PhD in a quantitative field

MS + 12+ years ML/algorithms experience

Tools

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon Industrial Robotics seeks an Applied Scientist III to develop and deploy ML systems that enable robots to learn from real-world fleet data and continuously improve performance. You will collaborate with robotics teams, software engineers, and operations, delivering robust algorithms and scalable ML infrastructure.

You will design, implement, and evaluate reinforcement learning, anomaly detection, and predictive maintenance solutions, pushing academia-grade research into production-grade