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.

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 chat-based agentic assistance - into the hands of healthcare professionals.

• Participate in early-stage exploration of new ML features and transform promising prototypes into reliable production services.

• Wear multiple hats in a pragmatic way: from exploring LLM observability frameworks to debugging infrastructure to improving annotation workflows—whatever moves the product forward.