---
title: 'Senior Computer Vision Engineer (Action Recognition) at Scandit'
canonical: 'https://feeny.ai/job/senior-computer-vision-engineer-action-recognition-scandit-tampere-z2n5phfzf0ax'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Computer Vision Engineer (Action Recognition) at Scandit

- **Company:** Scandit
- **Location:** Tampere, Finland
- **Posted:** 2026-07-24
- **Last confirmed live:** 2026-09-11
- **Apply:** https://www.scandit.com/careers/job-description/?gh_jid=8083191

## Job description

Scandit Tampere

Senior Computer Vision Engineer

Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.

We are now building a new generation of technology for retail: a computer vision–driven system that helps retailers to increase their profit margins through better operational insight and automation. As a Senior Computer Vision Engineer, you will play a leading role in taking this product from 0 to 1, owning key technical decisions and delivering production-grade vision capabilities end to end.

You will own the technical direction for action recognition in real‑world retail environments: from defining how we collect and annotate video data, to prototyping and evaluating models, to iterating on precision, recall and end-to-end alert latency under production‑like conditions. You'll work closely with product, data, and engineering stakeholders to validate the riskiest assumptions quickly and cost‑effectively.

If you enjoy turning ambiguous, high‑impact problems into working ML products – and have experience building commercial computer vision systems for action recognition, autonomous checkout, worker safety, or similar applications – we'd love to talk.

## About the role

As a Senior Computer Vision Engineer, you will be responsible for leading the technical discovery and early development of Scandit's new solution – from validating the riskiest assumptions to building and iterating on the first end-to-end prototypes. You will work closely with product, other engineering teams, and external stakeholders to turn real-world video data into robust, privacy-aware computer vision models that can operate in live retail environments.

This role connects cutting-edge CV/ML research with real-world product constraints – requiring both deep technical expertise and a pragmatic, experimental approach to building production-ready systems under ambiguity and time pressure.

## What you will do

- Defining and prioritizing technical experiments to validate key risks (e.g. precision, recall, latency) for computer vision models in retail stores
- Designing and implementing end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment
- Setting up and refining the human annotation workflow to create high-quality training and test datasets from video streams
- Collaborating with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps
- Selecting, adapting, and optimizing state-of-the-art computer vision architectures for suspicious behavior and action detection in unconstrained environments
- Providing technical leadership in the space of video-based computer vision applications, helping shape best practices and future hiring for the team

## Who you are

We are looking for a senior computer vision / machine learning engineer who has successfully built and shipped real-world products, ideally involving action recognition on video. You combine deep hands-on technical expertise with a pragmatic, experimental mindset and are comfortable working in a high-ambiguity, 0→1 product environment. You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions.

- University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)
- Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production
- Proven track record of building end-to-end CV/ML systems from 0→1 (ideally commercial products rather than purely academic projects)
- Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail, autonomous checkout or similar domains)
- Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data
- Ability to work in a dynamic, high-uncertainty environment, prioritize experiments, and iterate quickly on technical approaches
- Ability to collaborate effectively with cross-functional teams (e.g. product, backend, data, operations) and communicate complex technical topics clearly in English (B2 level or higher)
- Eligible to work in the hiring location

Nice to have:

- Experience with privacy-aware or GDPR-compliant data pipelines, especially for video data
- Background in building or selecting annotation tools and workflows for computer vision training data
- Prior work on retail, autonomous stores using computer vision

## What we offer

Here are just some of the reasons why people choose to build their careers at Scandit:

- A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
- Hackathons
- Flexible, office, hybrid or home working
- People-first culture
- Global team outings
- Festive/end of year all company celebrations
- Your birthday off
- An attractive individual equity plan in a high growth company
- We are certified as a “Great Place to Work” in 7 countries!
- Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London.
- Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany
- Specific benefits related to the location you are joining

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applicants will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.

Imagine the What. Build the How.

## #LI-MB1

#engineering

#senior

#hybrid

## About Scandit

## Company Overview
- **One-liner**: Scandit provides a Smart Data Capture platform powered by vision AI that enables enterprises to capture and analyze barcode, ID, and label data from any smart device, turning physical-world data into real-time business decisions.
- **Entity Type**: Private (Series D)
- **Headquarters**: Zurich, Switzerland (Global HQ: Hardturmstrasse 18, 8005 Zurich)
- **Founded**: 2009
- **Founders**: Three researchers from MIT, ETH Zurich, and IBM Research (individual names not publicly listed on the company site)

## Core Business
- **Primary industry**: Enterprise Software / Smart Data Capture / Computer Vision
- **Target customers**: B2B, primarily large enterprises in retail, logistics, healthcare, air travel, and post/parcel sectors
- **Mission or purpose**: "Turn camera input into decision-making" — enabling workers and customers to blend physical and digital worlds with unmatched speed, accuracy, and intelligence.

## Products & Services
- **Smart Data Capture SDK & Frameworks**: Software development kits that add barcode, text, or ID scanning to any iOS or Android app in under 5 minutes. Handles 80bn scans annually across low light, damage, distance, and glare conditions. Includes AR guidance and intent detection.
- **Scandit Express (turnkey app)**: Pre-built mobile application for rapid deployment of scanning workflows.
- **Shelf Intelligence & Execution**: AI-powered planogram and price compliance, expiry management & markdowns, and stock detection to boost on-shelf availability to over 95%.
- **Intelligent In-store Picking**: Increases fulfillment capacity by up to 4.6% without additional headcount, optimizing cost per order and service levels using existing labor hours.
- **ID Scanning & Validation**: Fast, accurate, and secure ID scanning and validation processed on-device for maximum privacy. ISO 27001 certified.
- **Scandit Agent Skills**: Brings 15 years of barcode, label, and ID scanning expertise into coding agents for custom integrations and pre-built components.
- **Retail Insights by Vision AI**: Turns visual store data into real-time inventory visibility and prioritized actions, increasing store revenue by up to 2% and cutting waste by up to 40%.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of over $273M (Series D led by Warburg Pincus).
- **Notable Investors/Partners**: Warburg Pincus (lead investor). Other investors include GV (Google Ventures), NGP Capital, and others from earlier rounds.
- **Growth Signals**:
  - Trusted by over 2,100 customers worldwide.
  - Active on more than 170 million mobile devices.
  - Processes over 50 billion scans per year.
  - Achieved NPS score of +65.
  - Job postings up +66.7% year-over-year (10 active postings as of mid-2025).
  - Offices in 7 countries: Switzerland, UK, USA, Finland, Poland, Japan, and Italy.

## Competitive Advantages
- **Deep Computer Vision Moat**: Proven at 80bn scans a year with ability to read barcodes in extreme conditions (low light, damage, distance, glare) — a 15-year R&D head start.
- **On-Device Processing**: All ID scanning and validation happens on-device (ISO 27001 certified), ensuring maximum privacy and offline capability.
- **Platform Agnostic**: Works on any smart device (smartphones, handhelds, fixed cameras, drones) — no proprietary hardware lock-in.
- **End-to-End Solution**: From SDKs and turnkey apps to shelf intelligence and retail insights, covering both data capture and actionable analytics.
- **Enterprise-Grade Support**: Includes trials, solution design, integration, and customer success support in the standard offering.

## Strategic Focus
- **Expanding Retail Intelligence**: Moving beyond barcode scanning into AI-driven shelf monitoring, planogram compliance, and waste reduction — targeting grocers, convenience stores, pharmacies, and DIY.
- **Supply Chain & Logistics Optimization**: Deepening capabilities in in-store picking and fulfillment to boost capacity without headcount increases.
- **Global Scale**: Growing office footprint (recent additions in Poland, Italy) and customer base (2,100+ customers) across retail, logistics, healthcare, and air travel.
- **Developer Ecosystem**: Launching "Scandit Agent Skills" to embed scanning expertise into coding agents, lowering integration barriers for new customers.

## Why Work Here
- **Culture & Values**: Emphasizes innovation, pioneer spirit, team spirit, dedication, getting things done, and having fun. Described as "human, warm, and collaborative."
- **Work Model**: Flexible — "Work at home, at the office or hybrid."
- **Global Team**: Employees across 5 continents with memorable global gatherings (e.g., 2024 global team outing in Croatia).
- **Recognition**: Certified "Great Place to Work" in 7 countries: Switzerland, UK, USA, Spain, Finland, Poland, and Italy.
- **Engineering Culture**: Strong emphasis on big brains having freedom to think, innovation hackathons, and collaboration with brilliant minds. Alumni go to top tech companies (Amazon, Google, Meta, Apple).
- **Perks**: "Share in our success" culture, legendary team outings, and a space to stretch yourself.

## Sources
1. [scandit.com](https://www.scandit.com/)
2. [scandit.com/company](https://www.scandit.com/company/)
3. [scandit.com/careers](https://www.scandit.com/careers/)
4. [LinkedIn - Scandit](https://www.linkedin.com/company/scandit)

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