(Senior) Machine Vision Engineer

The Team

Verity builds fully autonomous drone fleets that combine advanced sensing with data science to deliver real productivity gains in commercial warehouses globally. You'll be joining the Inventory Insights squad, transforming RGB and depth data from drone\-mounted sensors into the actionable insights that power zero\-error warehousing for clients worldwide.

What You'll Work On

• You'll focus on the perception stack that turns raw 2D and 3D drone sensor data into reliable inventory signals: barcode reads, occupancy estimates, pallet segmentation, item counts.


• Adapt, fine\-tune, and evaluate open weight models (detection, segmentation, VLMs) for warehouse environments


• Build robust solutions for real\-world conditions: occlusion, bad lighting, reflective packaging, partial views


• Analyse failures on real drone data and close the loop back to production


• Optimize models for deployment on drone hardware, cloud inference, or both


• Spend time on\-site with clients to understand how warehouses actually run, then turn ambiguous operational needs into perception problems that are both technically tractable and genuinely valuable to solve

• MSc or PhD in CS, robotics, ML, or computer vision (or equivalent experience)


• Several years of hands\-on experience building CV or ML systems that shipped to real users


• Strong practical depth in deep learning for visual perception: training, fine\-tuning, evaluation, failure analysis


• Experience in at least some of: object detection, segmentation, depth estimation, OCR, 3D perception, or multimodal vision models


• A product mindset: you get close to client needs, scope problems for feasibility and impact together, and care that what you ship measurably improves operations rather than just benchmark numbers


• Solid Python and comfortable in PyTorch or TensorFlow


• Clear communicator in English

• Open weight foundation models for vision or multimodal reasoning


• C\+\+


• Edge deployment: ONNX, TensorRT, quantization, edge GPUs


• RGBD data, time\-of\-flight cameras, point clouds


• Robotics, warehouse automation, or industrial perception experience

• Ownership with a flat structure. No layers of approval between you and the people making decisions.


• You'll work alongside experienced engineers and researchers shipping autonomous systems into real warehouses, with plenty of room to grow your career as the company scales.


• Hybrid setup, and you shape your hours around your life. School pickup, dog walks, a lunchtime marathon training run, all fine.


• Flexible annual leave policy, employee stock ownership plan (conditions apply), a choice of pension plans, and relocation support if you're moving to Zurich.


• A dedicated buddy guides you through onboarding and your first month.


• Annual offsites, regular get\-togethers, knowledge\-sharing talks, and game nights. The office is dog\-friendly, stocked with breakfast, fruit, snacks, drinks and great coffee.

We strive to create an inclusive environment that empowers our employees. All qualified applications will receive consideration for employment without regard to race, nationality, religion, sexual orientation, gender, age, physical \[dis]ability, gender identity or length of time spent unemployed.

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