Helsing
AI Research Engineer - 3D Computer Vision(m/w/x)
Full-timeOn-siteSenior
München, Berlin
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MEMerantix Stealth Venture
Senior Computer Vision Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Calibrating multi-camera feeds and creating real-time spatial models for logistics yards. Proven production deployment experience required. Stock options and meaningful equity.
Requirements
- Highly skilled computer vision engineer
- Proven experience taking CV projects from research/prototyping into production
- Excited about solving hard technical problems in industrial settings
- Clear communication skills
- Autonomous work ability
- Thriving in fast-moving startup environment
- 5+ years of hands-on experience in computer vision, AI/ML or robotics projects
- Strong expertise in Python and/or C++
- Expertise in modern ML frameworks (PyTorch, TensorFlow)
- Deep understanding of computer vision algorithms (e.g. ByteTrack, DeepSORT)
- In-depth knowledge of CV tools and libraries (OpenCV, torchvision, YOLO)
- In-depth knowledge of object detection/tracking frameworks
- Production experience: CV project from concept through deployment
- Advanced degree: MSc or PhD in Computer Science, Machine Learning, Robotics or adjacent
- Cloud experience with AWS, GCP, or Azure
- Code quality experience (reviews, testing, maintaining large codebases)
- Fluent English
- Experience with multi-camera systems, 3D tracking, or geospatial reasoning
- On-premise or edge deployment experience
- Background in logistics, robotics, autonomy, or industrial automation
- Experience with real-time systems or performance optimization
- Hands-on data labeling & curation experience
- Entrepreneurial mindset
- Prior experience in startup or early-stage company environment
- Experience with 3D reconstruction, SLAM, or structure-from-motion
- Familiarity with sensor fusion (camera, LiDAR, radar)
- Knowledge of GDPR and privacy-preserving machine learning
Tasks
- Calibrate and fuse multi-camera feeds
- Create real-time spatial models of logistics yards
- Associate assets across cameras using appearance and motion
- Map 2D detections to real-world coordinates
- Maintain queryable spatial state over time
- Develop behavioral anomaly detection models
- Generalize models across new sites
- Manage training data pipeline from raw footage
- Label and track experiments
- Version and validate models before deployment
- Design scalable data pipelines for live footage
- Optimize on-premise inference on commodity hardware
- Define and monitor production quality standards
- Diagnose and resolve field failures
- Influence engineering decisions with operational insights
- Set standards for model development and code quality
- Promote best practices in computer vision
Work Experience
- 5 - 7 years
Education
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- C++
- PyTorch
- TensorFlow
- ByteTrack
- DeepSORT
- OpenCV
- torchvision
- YOLO
- AWS
- GCP
- Azure
- LiDAR
- radar
Benefits
Competitive Pay
- Stock options
Other Benefits
- Meaningful equity
Modern Office
- Brand new office
Additional Allowances
- Hardware & equipment allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Merantix Stealth Venture 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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MEMerantix Stealth Venture
Senior Computer Vision Engineer(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Calibrating multi-camera feeds and creating real-time spatial models for logistics yards. Proven production deployment experience required. Stock options and meaningful equity.
Requirements
- Highly skilled computer vision engineer
- Proven experience taking CV projects from research/prototyping into production
- Excited about solving hard technical problems in industrial settings
- Clear communication skills
- Autonomous work ability
- Thriving in fast-moving startup environment
- 5+ years of hands-on experience in computer vision, AI/ML or robotics projects
- Strong expertise in Python and/or C++
- Expertise in modern ML frameworks (PyTorch, TensorFlow)
- Deep understanding of computer vision algorithms (e.g. ByteTrack, DeepSORT)
- In-depth knowledge of CV tools and libraries (OpenCV, torchvision, YOLO)
- In-depth knowledge of object detection/tracking frameworks
- Production experience: CV project from concept through deployment
- Advanced degree: MSc or PhD in Computer Science, Machine Learning, Robotics or adjacent
- Cloud experience with AWS, GCP, or Azure
- Code quality experience (reviews, testing, maintaining large codebases)
- Fluent English
- Experience with multi-camera systems, 3D tracking, or geospatial reasoning
- On-premise or edge deployment experience
- Background in logistics, robotics, autonomy, or industrial automation
- Experience with real-time systems or performance optimization
- Hands-on data labeling & curation experience
- Entrepreneurial mindset
- Prior experience in startup or early-stage company environment
- Experience with 3D reconstruction, SLAM, or structure-from-motion
- Familiarity with sensor fusion (camera, LiDAR, radar)
- Knowledge of GDPR and privacy-preserving machine learning
Tasks
- Calibrate and fuse multi-camera feeds
- Create real-time spatial models of logistics yards
- Associate assets across cameras using appearance and motion
- Map 2D detections to real-world coordinates
- Maintain queryable spatial state over time
- Develop behavioral anomaly detection models
- Generalize models across new sites
- Manage training data pipeline from raw footage
- Label and track experiments
- Version and validate models before deployment
- Design scalable data pipelines for live footage
- Optimize on-premise inference on commodity hardware
- Define and monitor production quality standards
- Diagnose and resolve field failures
- Influence engineering decisions with operational insights
- Set standards for model development and code quality
- Promote best practices in computer vision
Work Experience
- 5 - 7 years
Education
- Master's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- C++
- PyTorch
- TensorFlow
- ByteTrack
- DeepSORT
- OpenCV
- torchvision
- YOLO
- AWS
- GCP
- Azure
- LiDAR
- radar
Benefits
Competitive Pay
- Stock options
Other Benefits
- Meaningful equity
Modern Office
- Brand new office
Additional Allowances
- Hardware & equipment allowance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Merantix Stealth Venture 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.
About the Company
Merantix Stealth Venture
Industry
IT
Description
The company builds a computer vision and AI platform for real-time understanding and automation in fragmented operations.
Not a perfect match?
- Helsing
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