Senior Machine Learning Engineer

Job Overview

Artera is a SaaS leader in digital health, focused on transforming patient experiences with AI-powered virtual agents. As a Senior Machine Learning Engineer, you will work collaboratively to build AI experiences that enhance patient access and healthcare efficiency. This role involves developing production-ready AI agents and implementing advanced ML technologies within a structured environment, with a strong emphasis on real-world healthcare applications.

Technical Requirements

Responsibilities

• • Build and ship production-ready AI agents that automate key healthcare workflows
• • Design and implement workflows and scripts for agentic conversations based on patient flows
• • Collaborate closely with Engineering Foundations, Product, Design, and Engineering teams
• • Conduct end-to-end development including data gathering, hypothesis testing, prototyping, and productionizing
• • Implement NLP and LLM-powered components for sentiment analysis and conversation evaluation
• • Design evaluation agents to enhance the quality of autonomous conversations
• • Work within a modern MLOps environment for scalable model deployment
• • Contribute to analytics and predictive features such as no-show prediction
• • Translate complex ML workflows into digestible updates for stakeholders
• • Contribute to backlog velocity by owning tickets and delivering high-impact work

Technical Environment

Benefits & Perks

• • Full health benefits (medical, dental, and vision)
• • Company paid life insurance and short-term & long-term disability
• • Company equity and voluntary benefits
• • 401(k) plan
• • Generous time off including company holidays and flexible time off