About the Role:
Uber is looking for an AI/ML Software Engineer to transform how we manage security risk, audit, and compliance through cutting-edge machine learning and analytics. In this role, you will develop AI-driven models to automate risk assessments, enhance compliance monitoring, and improve decision-making across GRC (Governance, Risk, and Compliance) functions.
What You’ll Do:
1 . Build and deploy AI/ML models to automate GRC processes including risk assessments, audit analytics, and compliance monitoring.
2 . Apply NLP and machine learning techniques to analyze security incidents, risk data, and regulatory requirements.
3 . Enhance fraud detection and anomaly identification with predictive analytics.
5 . Ensure AI models are compliant with regulatory standards and ethical AI principles.
6 . Continuously monitor and improve AI models for accuracy, fairness, and transparency.
Basic Qualifications:
1 . Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Cybersecurity, or related field.
2 . 4+ years of experience in AI/ML, data science, or analytics.
3 . Proficiency in Python, R, or equivalent languages, and experience with AI/ML frameworks like TensorFlow, Scikit-learn, or PyTorch.
4 . Strong skills in NLP, anomaly detection, and predictive modeling.
Preferred Qualifications:
1 . Experience applying AI/ML in cybersecurity, fraud detection, or risk analytics.
2 . Knowledge of Explainable AI (XAI) and AI governance frameworks.
3 . Relevant certifications (e.g., CISM, CRISC, Certified AI Ethics Professional).
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .
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