Amazon
Sr. Applied Scientist - Perception (SLAM/VIO), Fauna
$184K–$249K
New York, NY · Senior · Full-time · Posted Jul 22, 2026
- Experience
- 3+ years building machine learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Develops and deploys real-time visual-inertial odometry and sensor-fusion systems for intelligent robots, from algorithm design through embedded production deployment.
What you'll do
- Design VIO and multi-sensor fusion algorithms for real-time robotic pose tracking.
- Optimize perception algorithms for embedded hardware and build calibration, evaluation, and benchmarking infrastructure.
- Apply ML-based perception methods and lead technical projects through production deployment, collaborating across hardware, controls, and navigation teams.
What they ask for
- 3+ years of building machine learning models for business application experience.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
183,800.00 - 248,700.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Uses machine learning, neural deep learning, learned features, depth estimation, and neural odometry to augment geometric perception methods.
Model-written summary · the original posting is authoritative