Intermediate Machine Learning Engineer, AI Powered: Custom Models

The Custom Models team is responsible for Duo Self-Hosted, a key component in GitLab AI that allows customers to run GitLab Duo features on completely private environments, connecting GitLab to their own AI models. They work collaboratively with numerous teams to ensure a complete lifecycle of assessing models, evaluating features, implementing controls for customization and guaranteeing a smooth experience for our largest customers. Develop evaluation techniques to assist feature teams on guaranteeing the quality of their features on new models. Evolve the Evaluation Runner, our internal tool for scaling AI Feature evaluation. Keep up with the industry to explore brand new models. Deploy and manage LLMs internally for evaluation and development. Collaborate with product managers, engineers, and other stakeholders as a machine learning specialist, guiding them on effective implementation of AI features. Advocate for improvements to product quality, security, and performance. Solve technical problems of moderate scope and complexity. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale machine-learning environment. Maintain and advocate for these standards through code review. Confidently ship small features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects. Participate as a reviewer or project maintainer in one or more engineering projects.