Deep Learning Engineer (Radar Computer Vision)

Slashhash; Den Haag; On-site; EUR 70,000 - 100,000; Full time

Job summary

Robin Radar is seeking a Deep Learning Engineer to architect and implement object detection frameworks for radar computer vision. The role focuses on building robust models for complex radar data, optimizing for edge computing, and collaborating with AI specialists and radar experts.

Requires a Master’s degree and 5+ years of experience in deep learning for computer vision. Proficiency in Python and PyTorch is essential, with TensorRT experience a plus.

Qualifications

• Master's degree in a relevant field.
• 5+ years of experience in deep learning for computer vision.
• Experience with radar data is strongly preferred.

Responsibilities

• Architect and implement object detection frameworks for radar computer vision.
• Build robust models for complex radar data and edge deployment.
• Collaborate with AI specialists and radar experts to integrate solutions.

Skills

Deep Learning

Computer Vision

Object Detection

Segmentation

Classification

Radar Data

LiDAR

Sonar

Medical Imaging

Edge Computing

Python

PyTorch

TensorRT

Neural Network Architecture

Data Labeling

5 years of relevant experience

Education

Master's degree

Tools

Python

PyTorch

TensorRT

Job description

Robin Radar is seeking a Deep Learning Engineer to architect and implement object detection frameworks for radar computer vision. The role involves building robust models for complex radar data, optimizing for edge computing, and collaborating with AI specialists and radar experts. Requires a Master's degree and 5+ years of experience in deep learning for computer vision.

• Deep Learning
• Computer Vision
• Object Detection
• Segmentation
• Classification
• Radar Data
• LiDAR
• Sonar
• Medical Imaging
• Edge Computing
• Python
• PyTorch
• TensorRT
• Neural Network Architecture
• Data Labeling
• 5 years of relevant experience