Senior Applied Scientist, Real-Time VIO & Perception

Amazon

New York (NY)

On-site

USD 184,000 - 249,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC is hiring a Sr. Applied Scientist to design, implement, and deploy Visual Inertial Odometry and sensor fusion systems for intelligent robots.

You will own the end-to-end pipeline from algorithm development to embedded deployment, balancing real-time performance with resource constraints. You will leverage modern ML approaches to enhance perception, working hands-on with sensors and hardware in dynamic environments.

Qualifications

  • PhD or Master’s with 6+ years of applied research experience in ML.
  • Strong background in VIO or sensor fusion for robotics.
  • Proficiency in C++, Python, and Java; ML toolkits.

Responsibilities

  • Design and implement Visual Inertial Odometry algorithms for real-time state estimation.
  • Develop multi-sensor fusion pipelines with cameras and IMUs.
  • Optimize perception and tracking for embedded hardware under latency/power constraints.
  • Apply modern ML perception techniques to augment geometric methods.
  • Build calibration, evaluation, and benchmarking infrastructure.
  • Collaborate with hardware, controls, and navigation teams for autonomy stack.
  • Lead projects from prototyping through production deployment.

Skills

3+ years ML models
Java
C++
Python
Deep learning

Education

PhD
Master's + 6+ yrs applied research

Tools

TensorFlow
scikit-learn
MxNet

Job description

Amazon.com Services LLC is hiring a Sr. Applied Scientist to design, implement, and deploy Visual Inertial Odometry and sensor fusion systems for intelligent robots.

You will own the end-to-end pipeline from algorithm development to embedded deployment, balancing real-time performance with resource constraints. You will leverage modern ML approaches to enhance perception, working hands-on with sensors and hardware in dynamic environments.

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