"model governance" Jobs
3958 open tech roles matching “model governance”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 3958 results
Lead the development of an enterprise-wide governance program for data and AI at Mercury.
Join Affirm's Bank Model Risk Management team as a Quantitative Analytics Manager to validate and monitor credit and fraud models.
Join Cartesia as a lead researcher to design evaluation frameworks for next-generation AI models.
Join Reflection AI as a Research Program Manager to enhance research velocity in frontier model development.
Lead the transformation of Mercury's Customer Support into a bank-grade operation while maintaining speed and quality.
Lead a team focused on optimizing machine learning models for ads efficiency at Reddit.
Lead the validation of financial and analytics models in a remote-first environment at Affirm.
Join Affirm as a Lead validator for Finance and Analytics models in a remote-first environment focused on model risk management.
Join Cartesia as a Researcher to advance neural network architecture design in a collaborative, innovative environment.
Join Baseten as a Technical Program Manager to build and optimize the core algorithms for high-performance AI inference.
Drive improvements in the experiment tracking platform for leading AI teams as a Senior Product Manager at CoreWeave.
Join Reflection AI as a Research Program Manager to build foundational infrastructure for model evaluations and safety in AI.
Join Monzo as a Credit Model Validation Manager to lead independent validation of credit decisioning models in a growing lending business.
Join hyperexponential as a Model Developer to own end-to-end model delivery and solve complex problems in a dynamic team.
Lead a research engineering team focused on biological safety evaluations and classifiers in a mission-driven AI organization.
Lead a data team at Cartesia to enhance the quality of multimodal AI training data and infrastructure.