Senior Computer Vision Engineer (Stealth Start-up)

What we do

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.

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

We're 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.

Your role

As Senior Computer Vision Engineer, you'll be instrumental in taking our automation platform from early prototypes into production systems deployed across logistics networks. You'll report directly to our CTO/Co-founder and work alongside a growing engineering team.

This is a hands-on, high-ownership role for someone who wants to solve real-world problems at scale. You'll 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.

Key Responsibilities

CORE CV SYSTEM

• Multi-camera fusion - Calibrate and fuse overlapping feeds into a single spatial model of the yard 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.

Your profile

You are a highly skilled computer vision engineer with proven experience taking CV projects from research/prototyping into production. You're 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+ years of hands-on experience in computer vision, AI/ML or robotics projects

• Strong expertise in Python and/or C++ and modern ML frameworks (PyTorch, TensorFlow)

• Deep understanding of computer vision algorithms, e.g. ByteTrack, DeepSORT etc

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

• Production experience: you've 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 with multi-camera systems, 3D tracking, or geospatial reasoning

• On-premise or edge deployment experience (inference at the edge, privacy constraints)

• Background in logistics, robotics, autonomy, or industrial automation

• Experience with real-time systems or performance optimization for latency-critical applications

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

Entrepreneurial mindset: you're comfortable with ambiguity, move fast, and bias toward action

Nice to Have

• Prior experience in a startup or early-stage company environment

• Experience with 3D reconstruction, SLAM, or structure-from-motion

• Familiarity with sensor fusion (combining camera, LiDAR, radar)

Knowledge of GDPR and privacy-preserving machine learning

What we offer

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

• Brand new office on Berlin's AI Campus (Merantix HQ) where you can collaborate with hundreds of AI engineers across the ecosystem

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

• Build the core team with us