ML Engineer - Conversational AI - Remote

Overview

Notable is the leading intelligent automation company for healthcare. Customers use Notable to drive patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We don’t just make software. We are on a mission to fix the broken U.S. healthcare system by helping to eliminate the massive administrative burden that is placed on our nation’s healthcare staff. We hire people from diverse backgrounds and are always looking for employees who bring fresh ideas to our space. Passion is paramount, and at Notable, you will get to work with other talented people who aim to set the new standard for innovation in healthcare.

In Short

• Develop and deploy conversational AI models and agents across text, image, and voice modalities.
• Work with product development team and product managers to define scope of work, timeline, and product specifications.
• Collaborate with backend engineers to deploy, maintain, and scale AI models.
• Define interfaces between microservices that run and deliver AI models.
• Collect, clean, and transfer data to train AI models.
• Experiment with different AI models and communicate evaluation metrics to product teams.
• Refine and improve best practices within the ML team.
• Innovate on leveraging existing technologies to solve new problems.

Requirements

• 7+ years of experience in a relevant role.
• Ability to translate business requirements into machine learning model specifications.
• Prototype new models from open-sourced code.
• Design and train new model architectures for complex data.
• Experience with real-world data: large, messy, incomplete, irregular.
• Experience with structured and unstructured data.
• Proficiency with Python and standard ML stack (numpy, pandas, scikit-learn).
• Experience with deep learning packages (e.g., TensorFlow, PyTorch).
• Experience deploying ML models in production.

Benefits

• Work with a talented team focused on innovation in healthcare.
• Opportunity to contribute to meaningful projects that impact healthcare.
• Collaborative and diverse work environment.