AI Researcher - Support & Innovation

Job Summary The AI Researcher - Support & Innovation is responsible for hands-on experimentation and applied research aimed at advancing AI capabilities within the organization. This role focuses on prototyping, evaluation, and collaboration with engineering teams to translate research insights into production-ready recommendations. The position sits at the intersection of research and applied engineering, driving innovation through rigorous experimentation and continuous exploration of emerging AI techniques. Key Responsibilities Research and prototype machine learning, generative AI, and agentic AI techniques. Build reproducible Python-based experimentation pipelines. Design and execute evaluation frameworks for models and experimental approaches. Analyze research results and translate findings into actionable production recommendations. Collaborate with platform and engineering teams to operationalize successful prototypes. Stay current with academic advancements and industry trends to guide research direction. Required Qualifications Advanced degree or equivalent practical experience in AI, machine learning, or related fields. Strong Python skills and experience conducting ML experimentation. Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX. Experience with experiment tracking, reproducibility, and scientific research workflows. Preferred Qualifications Applied research experience in financial services or other regulated industries. Publications, research contributions, or demonstrated innovation in applied AI.