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
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
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.
Top Skills:
AWSAzureDockerGCPKubernetesPythonPyTorchTensorFlow
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.
Top Skills:
Data Processing SystemsExperimentation SystemsMachine Learning
Artificial Intelligence • Automotive • Machine Learning • Transportation
Design and implement core components of ML infrastructure, ensuring scalability and reliability in handling large volumes of data.
Top Skills:
AWSAzureGCPGoKubernetesPython
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
