š ļø Weāre Making Construction Sites Safer with AI
Every year,Ā hundreds of workersĀ are injured or killed in construction accidents involving heavy machinery. Weāre building anĀ AI-driven safety systemĀ that detects and tracks peopleĀ in real timeĀ around moving equipment, usingĀ stereo cameras, depth estimation, and edge AIĀ to prevent accidentsĀ before they happen.
Weāre looking for aĀ Lead Computer Vision EngineerĀ with experienceĀ building and deploying commercial AI/ML products. YouāllĀ own and drive our entire vision stackāfromĀ deep learning models to data pipelinesĀ for automated trainingāwhile ensuringĀ production-ready AI quality, robustness, and trustworthiness.
This is aĀ foundational role, meaning you willĀ directly shape the product, team, and companyās success.
š”Ā Weāre still early, so while our initial salary may not be market-leading, we offer significant equity, ensuring you share in the success we build together.
AsĀ Lead Computer Vision Engineer, you will:
ā Ā Develop & optimizeĀ computer vision models forĀ stereo depth estimation, object detection, and tracking.
ā Ā Architect scalable data pipelinesĀ forĀ automated data collection, annotation, and training workflows.
ā Ā Ensure AI quality, robustness, and trustworthinessĀ by leadingĀ V&V (verification & validation) processes.
ā Ā Review, benchmark, and manage trade-offsĀ in the computer vision pipeline to balance performance, accuracy, and efficiency.
ā Ā Deploy AI modelsĀ on embedded edge devices forĀ real-world safety applications.
ā Ā Define the CV roadmapĀ ā choosing the best models, frameworks, and optimization strategies.
ā Ā Work closely with hardware engineersĀ to fine-tune vision models for edge inference.
ā Ā Collaborate with the CTO & foundersĀ to translate research into a production-ready product.
ā Ā Hire & mentorĀ future CV engineers as we grow.
šÆĀ 5+ years in computer vision, deep learning & data engineering.
šÆ Experience working onĀ commercial AI/ML productsācontributed toĀ real-world deployments.
šÆ Strong inĀ stereo vision, depth estimation & multi-camera systems.
šÆ Proficient inĀ PyTorch, TensorFlow, OpenCV, C++/Python.
šÆ Experience withĀ ML pipelines, data engineering, and automated training workflows.
šÆ Hands-on experience withĀ Jetson, TensorRT, ONNX & edge deployment.
šÆĀ Holistic view of AI qualityĀ ā experience withĀ V&V processes, model validation, and deployment standards.
šÆĀ Startup mindsetĀ ā thrives inĀ fast-moving, high-ownership environments.
šĀ Bonus points if you have:
ā Experience withĀ ROS, LiDAR fusion, real-time AI.
ā Passion forĀ AI in safety-critical applications.
ā Knowledge ofĀ active learning & semi-supervised training.
š„Ā Your work saves lives.Ā Build AI thatĀ actively prevents real-world accidents.
š”Ā Ownership & Impact.Ā Join early, define the tech direction, and help build the company.
ā”Ā Cutting-edge AI & Data challengesĀ ā stereo depth, real-time vision, edge computing & automated training pipelines.
šĀ Hybrid/Remote Flexibility.Ā Work fromĀ Oslo or remotelyĀ within Europe.
š»Ā Top-tier hardware.Ā We provide the best equipmentĀ so you can do your best work.
šĀ Equity.Ā Be part of the journey and share in the success as we scale.
1ļøā£Ā Quick Intro Call (30 min)Ā ā Get to know each other.
2ļøā£Ā Technical Case (3-4 hours, async)Ā ā Solve a small real-world CV & data problem.
3ļøā£Ā Deep-Dive Interview (90 min)Ā ā Discuss the solution & explore collaboration.
4ļøā£Ā Final Chat & OfferĀ ā Talk vision, culture & next steps.
ā³Ā We move fast and respect your time!
Weāre hiringĀ ASAPĀ ā apply now or DM us for a chat! š
Know someone perfect for this role?Ā Feel free to share!
This job comes with several perks and benefits