Senior ML Engineer – AI Safety
Core
Lead the design, implementation, and governance of safety-critical GenAI systems, ensuring they are robust, explainable, fair, and aligned with regulatory standards.
Role type
Senior IC machine-learning engineer (AI safety & governance)
Builds
Responsible AI frameworks, safety guardrails, evaluation pipelines, and explainability tooling for GenAI systems
Domain
Financial services + Generative AI safety
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch, MLOps (MLflow/Kubeflow), AI safety techniques (red-teaming, adversarial testing, fairness metrics), AI governance, model risk management
Preferred skills
Automated benchmark suites for LLMs, bias detection/harm classification tooling, regulated financial services use cases (fraud detection, credit risk)
Technologies
TensorFlow, PyTorch, scikit-learn, MLflow, Kubeflow
Responsibilities
Lead design of Responsible AI frameworks and safety guardrails; Define AI safety evaluation pipelines including red-teaming and adversarial robustness testing; Develop explainability and interpretability tooling for model audits; Partner with risk, compliance, and legal teams to embed safety requirements; Lead incident response and root cause analysis for AI safety issues; Mentor engineers and represent AI Safety in cross-functional forums
Seniority
Senior, hands-on IC with mentorship responsibilities
