Staff Software Engineer, Machine Learning - SmarterDx

SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered. Built by physician-data scientists and trained on clinically-validated EHR data, our clinical AI platform interprets the nuances behind every patient story and makes clinically-sound recommendations for revenue cycle teams — helping hospitals recover earned revenue, improve quality metrics, reduce denials, and streamline revenue cycle operations.

Role Overview

We are looking for a Staff Machine Learning Engineer to help us build a best-in-class ML Ecosystem to advance our product suite with clinical AI. The ideal candidate works exceptionally well across disciplines and delivers high-quality outcomes continuously, with a relentless focus on reliable systems and developer experience.

What You’ll Do

• Build and scale machine-learning driven features across multiple products.
• Design reusable architecture that powers and accelerates machine learning development across the company.
• Set the standard for development and ML practices at SmarterDx and mentor other engineers.

What You Bring

• 10+ years of development experience with a focus on Machine Learning and Engineering roles.
• Strong proficiency in Python and SQL, with experience in machine learning libraries (PyTorch, TensorFlow).
• Experience with managing the full model production lifecycle, including deployment, release, and post-launch monitoring.
• Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features.
• Experience with cloud platforms (preferably AWS) and their machine learning services.
• Experience project managing a small team using a modern agile methodology.
• Experience influencing a cross-disciplinary organization to adopt best practices.
• Strong understanding of data engineering and architecture principles.
• Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Nice To Haves

• Former startup founder, or first engineering hire at a startup.
• Experience in the health tech domain, particularly in hospital billing systems.
• Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.
• Deployment of LLM systems into production environments.
• Contributions to open-source projects or active participation in the machine learning community.

Our Tech Stack

• Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, SageMaker, Terraform, Kubernetes

Benefits

• Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums.
• Paid Parental Leave – Generous paid leave to support families through birth or adoption (up to 12 weeks).
• Remote-First Team – Work from anywhere in the U.S.
• Unlimited PTO & 11 Holidays – To relax and recharge.
• 401(k) – Traditional & Roth options through Fidelity with a 4% match.