The Senior Machine Learning Engineer will deploy and maintain ML models, collaborate with cross-functional teams, and optimize ML system performance in a fully remote role.
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 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
- 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.
- 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 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
$190-220k base salary
#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 – 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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