Machine Learning Engineer

• Design and own comprehensive evaluations that measure accuracy, completeness, style, hallucination rate, bias, and safety across every release.
• Tune and iterate on RAG pipelines, prompt chains, conversation loops, provider selections, and fine-tunes until quality bars are met or exceeded.
• Build reusable data and evaluation pipelines, a shared semantic layer, and monitoring dashboards that make it easy for product teams to ship reliable AI quickly.
• Optimize for cost and latency, continuously benchmarking models and negotiating trade-offs between performance and spend.
• Implement robust data governance and lineage practices that satisfy enterprise compliance requirements and support our AI bias audit process.
• Document best practices and share knowledge to raise the bar for AI development across BrightHire.

Machine Learning Engineer

Senior Machine Learning Engineer

AWS Machine Learning Engineer - Pipeline

AWS Machine Learning Engineer

Azure Machine Learning Engineer