Cinder

AI Engineer

• Own the complete lifecycle of large language model implementation: from data preparation and fine-tuning through rigorous evaluation and production deployment.
• Develop automated evaluation frameworks that continuously assess model accuracy, identify edge cases, and quantify improvements across iterations.
• Work directly with product managers and engineers to integrate AI as a core product capability.
• Shape our AI roadmap by staying current with industry developments, evaluating emerging techniques, and making pragmatic adoption decisions.
• Design and implement low-latency, high-throughput, cloud-based AI/ML systems capable of handling thousands of requests per second
• Build the foundational infrastructure - model serving, monitoring, deployment pipelines, and automated testing frameworks - that enables rapid experimentation and iteration while maintaining production reliability.

Engineer

• Embed directly with strategic enterprise customers’ Trust & Safety, engineering, and policy teams to implement Cinder
• Act as technical implementer and strategic advisor to drive adoption and solve critical safety challenges
• Design and implement solutions that measurably improve internet safety outcomes
• Transform internet platform safety by implementing Cinder at large internet platforms
• Diagnose and solve customer safety problems with technical and strategic solutions
• Serve as subject matter expert on Cinder’s platform and Trust & Safety practices for customers and agencies
• Address technical challenges or collaborate with engineering/product teams to hand off projects
• Collaborate with Customer Success to triage and prioritize feedback from thousands of users
• Contribute to growth and success of Engineering and Customer Success organizations

AI Engineer

Forward Deployed Engineer