The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.
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
$230-250k 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 & 11 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.
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