Senior Machine Learning Engineer

Summary

Join SmarterDx as a Senior Machine Learning Engineer to contribute to the advancement of our clinical AI and support rapid model experimentation and development. This fully remote US-based role involves developing, deploying, and maintaining machine learning models and pipelines. You will collaborate with data scientists, engineers, and contribute to MLOps practices. The ideal candidate possesses 5+ years of experience in machine learning engineering or MLOps, strong proficiency in Python and SQL, and experience with deploying ML models in production environments. SmarterDx offers a competitive salary ($180K-$220K + equity) and comprehensive benefits.

Requirements

• 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., scikit-learn, PyTorch) and data manipulation (e.g., pandas, 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

Responsibilities

• Develop, 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

Preferred Qualifications

• 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

Benefits

• $180K to $220K salary + equity
• Medical/dental/vision benefits
• 401k
• Free One Medical membership
• Parental leave
• Remote first
• Minimal bureaucracy
• Incredible teammates!