Senior ML Engineer

Job Summary

Leading the design and implementation of safety-critical GenAI systems, the full-time Senior ML Engineer will collaborate with cross-functional teams to ensure AI systems are robust, explainable, and aligned with regulatory standards while working remotely.

Key responsibilities

• Lead the design and implementation of Responsible AI frameworks and safety guardrails for GenAI systems
• Define and own AI safety evaluation pipelines, including adversarial testing and automated safety benchmarks
• Mentor junior engineers and represent AI Safety in cross-functional forums

Required qualifications

• Experience in machine learning, data science, or software engineering with a focus on AI safety and model governance
• Strong Python skills and proficiency with ML frameworks such as TensorFlow or PyTorch
• Hands-on MLOps experience, including model monitoring and reproducible deployment practices
• Knowledge of AI safety techniques, including red-teaming and fairness metrics
• Understanding of AI governance and regulatory expectations in financial services