Senior Software Engineer, ML Engineering

Summary

Join SmarterDx as a Senior Machine Learning Engineer to contribute to the advancement of clinical AI and support rapid model experimentation and development. You will deploy and maintain machine learning models and pipelines, collaborate with data scientists and engineers, and build MLOps tools. The role involves optimizing model performance, contributing to system design, and creating tools to improve data scientist workflows. This is a fully remote position within the US. SmarterDx builds clinical AI to help hospitals analyze patient records, improve care quality, and optimize operations. The ideal candidate has 5+ years of experience in machine learning engineering or MLOps.

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. 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

Responsibilities

• 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

• $180-230k base + equity incentives
• Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan
• One Medical Membership – Free membership included if you enroll in a SmarterDx medical plan
• Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption
• Remote-First Team – Work from anywhere in the U.S. with a $400 home office reimbursement stipend
• Unlimited PTO & 10 Holidays – 4 of which include floating holidays so you can recognize the days that matter most to you
• Learning & Development Budget – $500 per year (prorated) for courses, books, and resources to expand your skills
• 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Empower