Medior Machine Learning Engineer

Healthcare professionals spend too much valuable time on administrative tasks while they should be using that time delivering great care. Attendi enables healthcare professionals to report through speech. Aside from saving time, it removes the screen between client and caregiver, allowing more personal and effective care. Burdened by an aging population, the healthcare sector is in desperate need of innovators like Attendi. We provide an extraordinary work environment: getting paid well to work with smart people on things that actually have a positive impact on society. Our Mission Attendi has already built a strong user base through API-first speech-to-text services and SDK integrations with electronic health record (EHR) vendors. In 2025 and 2026, we have expanded beyond integrations and shaping a more comprehensive product experience. Our new Attendi App (web and mobile) is a one-stop solution for AI-driven administration in healthcare. It enables healthcare professionals to access real-time insights, structured documentation, and voice-driven workflows - anytime, anywhere. Machine learning is central to this vision. From conversational speech recognition and diarization to LLM-based note taking, and chat-based assistance grounded in clinical guidelines, Attendi’s ML stack powers the core value we deliver to caregivers. To accelerate our roadmap, we are hiring a generalist ML Engineer who loves operationalizing ML in real-world production systems, thrives in small teams, and enjoys owning the full lifecycle - from prototyping to training, serving, monitoring, and continuously improving models in the cloud. Your Role As a ML Engineer at Attendi, you will: Own multiple parts of the machine learning lifecycle: data pipelines, model training, evaluation, deployment, monitoring, and iteration. Work on scalable ML systems in the cloud (Azure). Work closely with product, backend, and mobile engineers to bring ML-powered features -from transcription to note taking to cha