V

Computer Vision Engineer - Inventory Insights

Verity • Switzerland
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AI Summary

Develop perception systems that transform drone sensor data into actionable warehouse inventory insights. Build and optimize CV models for real-world warehouse conditions including occlusion and lighting challenges. Requires advanced deep learning expertise with Python and PyTorch/TensorFlow.

Key Highlights
Build perception stack for autonomous drone fleets in commercial warehouses
Transform RGB and depth data into inventory signals like barcode reads and item counts
Optimize models for deployment on drone hardware and cloud inference
Work directly with clients to understand operational needs and scope technical solutions
Key Responsibilities
Adapt, fine-tune, and evaluate open weight models for warehouse environments
Build robust solutions for real-world conditions including occlusion, bad lighting, and reflective packaging
Analyze 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 warehouse operations and turn needs into perception problems
Technical Skills Required
Computer Vision Deep Learning Python PyTorch
Benefits & Perks
Employee stock ownership plan
Flexible annual leave policy
Relocation support if moving to Zurich
Nice to Have
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

Job Description


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


What We're Looking For

  • 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


Nice to Have

  • 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


Why Verity?

  • 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.


Learn more about who we are, what we do, and how we think at www.verity.net


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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