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Easy Apply
The Senior Machine Learning Engineer at SmarterDx will deploy, maintain, and optimize machine learning models, collaborating across disciplines to integrate these solutions and improve clinical AI outcomes.
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.
Role
We are looking for a Senior Machine Learning Engineer to help us advance our clinical AI and support rapid model experimentation and development. The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously.
**This role is fully remote within the US**
What You’ll Do
- Deploy and maintain machine learning models and pipelines in production environments.
- Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform.
- Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.
- Optimize model performance and scalability, ensuring high reliability and efficiency.
- Build tools to improve the lives of our data scientists.
- Contribute to the design and architecture of our ML systems.
What You Bring
- 5+ years of experience in machine learning engineering or MLOps roles
- Strong proficiency in Python and SQL, with experience in machine learning libraries (e.g. PyTorch, Tensorflow) and data manipulation (e.g., pandas, Polars, SQL).
- Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.
- Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.
- Experience with cloud platforms (preferably AWS) and their machine learning services.
- Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.
- 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
- 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.
- Previous work in the healthcare sector or related fields.
Our Tech Stack
- Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s
$190-230k base + equity incentives
#LI-Remote
#LI-DNI
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 – 4 of which include floating holidays so you can recognize the days that matter most to you.
- 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.
Top Skills
Airflow
AWS
Dbt
Docker
Kubernetes
Mlflow
Python
PyTorch
Sagemaker
Snowflake
SQL
TensorFlow
Terraform
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