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.
Skills Required
- MSc or PhD in Computer Science, Robotics, ML, or Computer Vision (or equivalent experience)
- Several years of hands-on experience building computer vision or ML systems shipped to real users
- Practical depth in deep learning for visual perception: training, fine-tuning, evaluation, failure analysis
- Experience with at least some of: object detection, segmentation, depth estimation, OCR, 3D perception, or multimodal vision models
- Product mindset: scope feasible, impactful solutions tied to client operations
- Solid Python
- Comfortable with PyTorch or TensorFlow
- Clear communicator in English
- Experience with open-weight foundation models for vision or multimodal reasoning
- C++
- Edge deployment experience: ONNX, TensorRT, quantization, edge GPUs
- Experience with RGBD data, time-of-flight cameras, or point clouds
- Robotics, warehouse automation, or industrial perception experience
What We Do
Founded in 2014, Verity is the global leader in autonomous indoor drone systems that work—every time. Team Verity includes more than 100 dedicated professionals who work together to imagine, create, and deliver solutions that solve our clients’ biggest challenges. Verity's cloud-based inventory management system powered by self-flying drones fully automates the labor-intensive task of scanning inventory in large warehouses for companies like Ingka, DSV, and Performance Team—A Maersk Company. Our live events solutions provide lighting designers with new tools for expression to create stunning visual effects that have helped top artists like Drake, Céline Dion, Justin Bieber, Metallica, and Cirque du Soleil captivate audiences worldwide. At Verity, we make robotics (and great careers) take flight. We are entrepreneurs, engineers, professionals, and designers, all working as one to build the automated systems that put Verity's self-flying drones to work in the warehouse and at live events around the globe. Do you want to join a fast-growing technology company where your contributions will make a difference? Check out our open positions. See a role that’s right for you? Contact [email protected]. We can’t wait to meet you! - B2B sales professionals - Cloud engineers - Computer vision scientists - Data engineers - Electrical engineers - Field engineers - HR professionals - Key account managers - Manufacturing engineers - Mechanical engineers - Product managers - Project managers - Requirements engineers - Software developers/engineers - Solution engineers - System architecture engineers - Systems and control engineers - Test engineers - UX designers and engineers We strive to create an inclusive environment that empowers our employees. All qualified applications will receive consideration without regard to race, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or time spent unemployed.
