AI Scientist

Background

Resaro was founded on the belief that AI will change the world in ways we cannot even imagine, but every new technology needs safeguards to advance. We are looking for a Computer Vision data scientist with experience in evaluating and testing deep learning based computer vision models in production settings to work with a category-defining AI assurance venture that will help companies test and audit their AI systems. You will work with the team to evaluate and stress-test AI models to make sure they are fit for purpose and safe to be deployed. We value strong technical ability and real world experience and there will be room to solve challenging problems and adopt cutting edge technology into business applications.

Note: This description is posted on behalf of Resaro AI, a startup supported by SGInnovate.

• Work closely with customers to evaluate computer vision models in law enforcement and healthcare, with a focus on rigorous technical and analytical AI evaluation frameworks backed by scientific research and methods. These should assess the robustness, explainability, fairness, privacy, safety and security of AI and machine learning systems.
• Develop comprehensive evaluation frameworks for assessing the performance of computer vision models (e.g., object detection, image classification, segmentation, pose estimation).
• Stay abreast of the latest advancements in computer vision, AI, and deep learning to incorporate cutting-edge evaluation techniques.
• Lead or contribute to publications, conferences, and technical presentations on model evaluation and AI performance in computer vision.
• Explore innovative evaluation methods, such as adversarial testing or synthetic data, to push the boundaries of traditional model evaluation.

• 2 to 5 years of experience as a data scientist training and deploying computer vision models that affect business outcomes and customers.
• Passion and interest in applied research on the safe and responsible use of AI and with large language models.
• Proven experience evaluating computer vision models using metrics such as mAP, IoU, F1-score, precision-recall, and other task-relevant metrics.
• Experience with large-scale datasets (e.g., ImageNet, COCO) and managing annotation quality and dataset curation.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch, or Keras) and knowledge of architectures (e.g., ResNet, EfficientNet, Mask R-CNN, YOLO).
• Strong Python coding skills and ability to set up automated model evaluation pipelines.
• Experience with data augmentation, synthetic data generation, and adversarial testing.
• Familiarity with MLOps tools and cloud platforms (e.g., AWS, GCP) for scaling model evaluation tasks.
• Strong written and verbal communication skills, with the ability to articulate technical results and collaborate across teams.
• Experience presenting technical results to non-technical stakeholders, including product teams and leadership.
• Willingness to undergo security clearance while residing in Singapore. We will not sponsor work visas for this role.

• Published research in computer vision.
• Knowledge of explainability techniques for computer vision (e.g., Grad-CAM, LIME, SHAP).
• Familiarity with edge computing and deploying computer vision models in real-time systems.
• Experience with healthcare or facial recognition systems.
• Familiarity with cloud-based platforms (e.g., AWS, GCP) for scalable model evaluation and deployment.

Resaro is a global AI Assurance company pioneering the field of AI testing and evaluation. We are a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust.

Interested candidates may apply directly to DTC at the SGInnovate marketplace listing.