Senior Computer Vision Engineer

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Realeyes - Vision AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

📱 Media

Artificial Intelligence • Enterprise • Media

Realeyes is a technology company specializing in Vision AI, focusing on measuring human response through attention and emotion analysis. Their AI-powered facial coding technology is designed to measure audience attention to video content with human-level accuracy, enabling advertisers to enhance creative performance and media efficiency. The company's PreView platform is built for advertisers to drive creative performance, while Vision AI data supports better business decisions for enterprise brands, global media companies, and leading tech platforms. Realeyes also provides user verification solutions to combat identity fraud using lightweight facial verification.

📋 Description

• Build and improve deepfake and liveness detection models using CNNs, attention layers and vision-language models. • Design, train and evaluate models end to end, from preparing data to checking results, following good engineering practices. • Fine-tune vision-language models using efficient methods such as LoRA. • Make models smaller and faster for both cloud and on-device / mobile use. • Build and maintain training and deployment pipelines to get models into production on AWS (e.g. EC2, Athena). • Use AI-assisted coding tools such as Claude Code to speed up experimentation and prototyping. • Share progress clearly with technical and non-technical colleagues, and own independent research & development initiatives.

🎯 Requirements

• A BSc, MSc or Ph.D. in engineering, computer science or a related field. • At least 5 years of professional experience developing and deploying deep learning and computer vision models. • Strong grasp of the end-to-end ML workflow: preparing data, training models and evaluating results. • Solid grounding in modern neural network architectures, including convolutional networks and attention mechanisms. • Working understanding of large language models (LLMs), vision-language models (VLMs) and adaptation techniques. • Experience working in agile environments, with strong analytical and problem-solving skills. • Experience with deepfake detection, face anti-spoofing / liveness, biometric security or media forensics is a strong plus. • Experience leading or mentoring machine learning engineers is a strong plus. • Expert-level Python, with proven experience building deep learning models in production. • Familiarity with C++ is a plus. • Professional experience with modern deep learning frameworks such as PyTorch, TensorFlow or JAX. • Hands-on experience deploying and optimising models on AWS (e.g. EC2, Athena) and related MLOps services. (MLFlow etc) • Experience optimising neural networks for deployment, including model compression, quantisation and runtime optimisation.

🏖️ Benefits

• Unlimited paid holidays • Life insurance and 100% paid sick leave • Working from home setup • Innovative employee recognition and reward system, Bonusly • Strong benefit package including subsidized gym membership / sport allowance, online and offline team-building events, flexible working hours