Senior Machine Learning Engineer

Job Overview

Artera is seeking a Senior Machine Learning Engineer to enhance patient interactions through AI-powered virtual agents. This role involves building production-ready AI agents, collaborating with cross-functional teams, and integrating advanced technologies like LLMs into healthcare applications. The ideal candidate will help shape the future of patient experience by delivering intelligent and reliable AI solutions.

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 and real-world data.
• • Collaborate closely with Engineering Foundations, Product, Design, and Engineering teams to perform discovery and guide the development of use-case-driven agents.
• • Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.
• • Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• • Design evaluation agents to enhance the quality and coherence of autonomous conversations.
• • Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• • Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• • Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• • Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.

Technical Environment

Benefits & Perks

• • Full health benefits (medical, dental, and vision)
• • Flexible spending accounts
• • Company paid life insurance
• • Company paid short-term & long-term disability
• • Company equity
• • Voluntary benefits
• • 401(k)
• • Generous time off including company holidays, Winter & Summer breaks