AI/ML Engineer - Security

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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.

4. Collaborate with security, audit, and legal teams to design AI-driven solutions.

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).

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*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 accommodations@uber.com.