Senior Machine Learning Engineer – Safety We’re seeking a Senior Machine Learning Engineer with expertise in optimizing conversational AI systems. The ideal candidate will have hands-on experience deploying and fine-tuning large language models, building scalable NLP pipelines, and enhancing conversational models' efficiency in production. This role ensures AI-driven interactions are fast and reliable for users in healthcare. Key Responsibilities: Develop mechanisms to ensure safe, compliant, and contextually appropriate AI model responses. Implement evaluation frameworks to assess system safety, fairness, and performance. Collaborate with cross-functional teams to meet healthcare privacy and compliance standards. Monitor, test, and audit AI systems to mitigate harmful or biased content. Document best practices for responsible AI usage in healthcare. Requirements: 5+ years of ML engineering experience, specifically in NLP and conversational AI. Strong experience in setting safety measures and evaluation frameworks for AI systems. Proficient in Python and familiar with NLP/Speech/ML frameworks. Knowledge of healthcare compliance, privacy, and regulatory requirements. Excellent communication skills and a commitment to ethical AI deployment. Must be comfortable working US hours, including up until lunchtime in SF if based in Europe. This role is open to remote candidates. Competitive salary, stock options, and benefits offered. Apply now!