Senior Computer Vision Engineer (Stealth Start-up)

Modern supply chains depend on seamless coordination across vast networks of facilities equipment and logistics operations. Yet critical visibility gaps remain places where decisions are made without complete information where optimization is constrained by the limits of manual oversight and where inefficiency compounds across thousands of sites.

Were building a computer vision and AI platform that changes this. By creating a unified intelligence layer across fragmented operations were enabling real-time understanding and automation where it matters most.

Were early backed by Merantix Capital and working with strategically important design partners in logistics and manufacturing. This is the kind of infrastructure problem that once solved properly scales across an entire industry.

AsSenior Computer Vision Engineer youll be instrumental in taking our automation platform from early prototypes into production systems deployed across logistics networks. Youll report directly to our CTO/Co-founder and work alongside a growing engineering team.

This is ahands-on high-ownership rolefor someone who wants to solve real-world problems at scale. Youll work on cutting-edge computer vision challenges real-time object tracking multi-view 3D reconstruction ID association and behavioral anomaly detection in messy industrial environments.

CORE CV SYSTEM

• Multi-camera fusion - Calibrate and fuse overlapping feeds into a single spatial model of the environment in real time.

• Tag-free re-identification - Associate the same asset across cameras using appearance and motion alone. No RFID no beacons.

• 3D scene understanding - Map 2D detections to real-world coordinates and maintain queryable spatial state over time.

• Behavioral anomaly detection - Learned models that generalize across new sites not brittle rule-based heuristics.

ML TRAINING & INFRASTRUCTURE

• Training stack - Own the pipeline from raw site footage to deployed model: labeling experiment tracking model versioning and automated validation before anything ships to a customer site.

• Data flywheel - Design pipelines that turn live customer footage into training data at scale so model quality compounds with each new deployment.

EDGE & PRODUCTION

• Edge deployment - Optimize for on-premise inference on commodity hardware.

• Production quality bar - Define monitor and own what good enough means for mission-critical CV.

CUSTOMER & PRODUCT

• Pilot site presence - Diagnose failures in the field. Operational realities feed directly into engineering decisions.

• Technical leadership - Set standards for model development code quality and CV best practices as the team grows.

You are a highly skilled computer vision engineerwith proven experience taking CV projects from research/prototyping into production. Youre excited about solving hard technical problems in real-world industrial settings. You communicate clearly work autonomously and thrive in a fast-moving startup environment.

Essential

• 5 yearsof hands-on experience in computer vision AI/ML or robotics projects

• Strong expertisein Python and/or C and modern ML frameworks (PyTorch TensorFlow)

• Deep understandingof computer vision algorithms e.g. ByteTrack DeepSORT etc

• In-depth knowledgeof CV tools and libraries: OpenCV torchvision YOLO object detection/tracking frameworks

• Production experience:youve taken at least one CV project from concept through deployment to end users

• Advanced degree:MSc or PhD in Computer Science Machine Learning Robotics or adjacent

• Cloud experience:hands-on work with at least one major provider (AWS GCP Azure)

• Code quality:experience with code reviews testing and maintaining large codebases

• Fluent English(German not required)

Strong Pluses

• Experience withmulti-camera systems 3D tracking or geospatial reasoning

• On-premise or edge deploymentexperience (inference at the edge privacy constraints)

• Background inlogistics robotics autonomy or industrial automation

• Experience withreal-time systemsor performance optimization for latency-critical applications

• Hands-on data labeling & curationexperience (understanding ground truth quality)

Nice to Have

• Prior experience in astartup or early-stage companyenvironment

• Experience with3D reconstruction SLAM or structure-from-motion

• Familiarity withsensor fusion(combining camera LiDAR radar)

• Competitive salary stock options(meaningful equity as an early engineer)

• Brand new officeon Berlins AI Campus (Merantix HQ) where you can collaborate with hundreds of AI engineers across the ecosystem

• Hardware & equipment allowanceto ensure you have everything needed to thrive

• Build the core team with us