Staff Software Engineer, Machine Learning

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. As a Smartian, you’ll help build technology that makes healthcare more accurate, sustainable, and effective for everyone. Learn more at smarterdx.com/careers.

Role

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.

This role is fully remote within the US

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

• • 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

• • Experiencing 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

• • You're a former startup founder, or have been the 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, K8s

Compensation

$230-260k base salary

#LI-Remote

Benefits

• • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.

• • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.

• • Remote-First Team – Work from anywhere in the U.S.

• • Unlimited PTO & 10 Holidays – So you can relax and recharge.

• • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.

• • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.

• • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.