AeroVect
Senior Software Engineer, Perception(m/w/x)
Full-timeRemoteSenior
Berlin
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AEAeroVect
Senior Staff Software Engineer, Perception(m/w/x)
Berlin
Full-timeRemoteSenior
AI/ML
Nejo AI Summary
Architecting 3D object detection models using camera, LiDAR, and Radar for autonomous ground handling. Master's or PhD with 5+ years in 2D/3D object detection required. Building proprietary multi-modal datasets and leading projects autonomously.
Requirements
- Master's or PhD in Computer Science, Robotics, Deep Learning, or related field
- 5+ years of focused experience in architecting and deploying 2D/3D object detection models
- Experience with entire perception stack (sensing, preprocessing, detection & tracking)
- Python proficiency
- Ability to lead projects autonomously
- PhD in Computer Science, Robotics, or related discipline
- Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
Tasks
- Architect 3D object detection models
- Design multi-modal approaches (camera, LiDAR, Radar)
- Build data collection pipeline
- Maintain evaluation metrics pipeline
- Develop proprietary multi-modal dataset
- Train 2D/3D object detection models
- Deploy 2D/3D object detection models
- Monitor 2D/3D object detection models
- Experiment with SOTA models’ performance
- Mentor junior engineers on best practices
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- 2D object detection models
- 3D object detection models
- CVPR
- ICRA
- NeurIPS
- IJCAI
- AAAI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AeroVect and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AEAeroVect
Senior Staff Software Engineer, Perception(m/w/x)
Berlin
Full-timeRemoteSenior
AI/ML
Nejo AI Summary
Architecting 3D object detection models using camera, LiDAR, and Radar for autonomous ground handling. Master's or PhD with 5+ years in 2D/3D object detection required. Building proprietary multi-modal datasets and leading projects autonomously.
Requirements
- Master's or PhD in Computer Science, Robotics, Deep Learning, or related field
- 5+ years of focused experience in architecting and deploying 2D/3D object detection models
- Experience with entire perception stack (sensing, preprocessing, detection & tracking)
- Python proficiency
- Ability to lead projects autonomously
- PhD in Computer Science, Robotics, or related discipline
- Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
Tasks
- Architect 3D object detection models
- Design multi-modal approaches (camera, LiDAR, Radar)
- Build data collection pipeline
- Maintain evaluation metrics pipeline
- Develop proprietary multi-modal dataset
- Train 2D/3D object detection models
- Deploy 2D/3D object detection models
- Monitor 2D/3D object detection models
- Experiment with SOTA models’ performance
- Mentor junior engineers on best practices
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- 2D object detection models
- 3D object detection models
- CVPR
- ICRA
- NeurIPS
- IJCAI
- AAAI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AeroVect and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
AeroVect
Industry
Transportation
Description
The company is transforming ground handling with autonomy, redefining operations for airlines and ground service providers.
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