Not specified (likely flexible; recommend hybrid based on industry standards).
Machine learning and deep learning foundation
Python programming with pytorch or tensorflow
Adversarial robustness and bias detection
AIDX TECH PTE. LTD. is seeking an AI Engineer to enhance their AI safety testing algorithms, focusing on improving the robustness, accuracy, and efficiency of AI models. The role involves developing novel algorithms, conducting research on AI safety challenges, and collaborating with interdisciplinary teams to ensure safe AI deployment
Job Summary
The role focuses on designing and validating safety algorithms to ensure AI models meet high reliability standards before deployment.
Candidates will conduct in-depth research into emerging AI safety challenges such as adversarial attacks and model interpretability.
The position requires collaborating with cross-functional teams to integrate new safety modules into the AIDX testing infrastructure.
Matching Summary
Match Score: 85
AIDX TECH PTE. LTD. is seeking an AI Engineer to enhance their AI safety testing algorithms, focusing on improving the robustness, accuracy, and efficiency of AI models. The role involves developing novel algorithms, conducting research on AI safety challenges, and collaborating with interdisciplinary teams to ensure safe AI deployment.
Skills & Requirements
Must-have
Machine learning and deep learning foundation
Python programming with PyTorch or TensorFlow
Adversarial robustness and bias detection
MLOps pipelines and continuous integration
Algorithm design for safety evaluation
Nice-to-have
Experience with reinforcement learning
Formal verification of AI models
Prior research publications in AI safety
Large-scale model testing experience
Strong analytical and communication skills
Key Requirements
Bachelor's degree in Computer Science or related field