Senior Computer Vision Engineer (Action Recognition)

Join Scandit, a leading technology company in the retail industry. As a Senior Computer Vision Engineer, you will play a crucial role in developing a computer vision-driven system that enhances operational insight and automation for retailers. You will be responsible for defining the technical direction for action recognition in real-world retail environments, designing and implementing end-to-end CV/ML pipelines, and collaborating with cross-functional teams. This is an exciting opportunity to work on cutting-edge technology and make a significant impact in the retail industry.

• Definir y priorizar experimentos técnicos para validar riesgos clave (por ejemplo, precisión, recuperación, latencia) para modelos de visión por computadora en tiendas minoristas.
• Diseñar e implementar pipelines de CV/ML de extremo a extremo en datos de video del mundo real, desde la ingestión de datos y el preprocesamiento hasta el entrenamiento, la evaluación y el despliegue del modelo.
• Colaborar con gerentes de producto y líderes de ingeniería para aclarar requisitos, alinearse en hitos y traducir necesidades comerciales en hojas de ruta técnicas.
• 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
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail, autonomous checkout or similar domains)
• Ability to work in a dynamic, high-uncertainty environment, prioritize experiments, and iterate quickly on technical approaches
• Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production
• University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)
• Eligible to work in the hiring location
• 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)
• Proven track record of building end-to-end CV/ML systems from 0→1 (ideally commercial products rather than purely academic projects)
• Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data
• You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions
• 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