Easy Apply
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 salary
#LI-Remote
#LI-DNI
#LI-DNP
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.
Top Skills
Airflow
AWS
Dbt
Docker
Kubernetes
Mlflow
Python
PyTorch
Sagemaker
Snowflake
SQL
TensorFlow
Terraform
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Senior AI/ML Software Engineer will design and implement AI/ML systems for healthcare, focusing on improving patient engagement and optimizing clinical trials, while ensuring system performance and scalability.
Top Skills:
AzuremlDatabricksDockerFastapiKubernetesPython
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves designing AI agents, building intelligent search capabilities, collaborating on scalable solutions, and delivering high-quality products while mentoring colleagues.
Top Skills:
AngularCi/CdCloudJavaJavaScriptReactRelational DatabasesUnix-Based SystemsVue
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and implement AI/ML systems for healthcare challenges, manage machine learning systems, and develop data pipelines for real-time insights.
Top Skills:
AWSAzureAzuremlCi/Cd ToolsDatabricksGCPPysparkPythonSnowflakeSQL
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
