Staff Software Engineer, ML Engineering

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SmarterDx

💵 $220k-$270k
📍Remote - United States

Summary

Join SmarterDx as a Staff Machine Learning Engineer to build a best-in-class ML ecosystem for clinical AI. You will craft, implement, and maintain MLOps tools and practices, optimize model performance, build tools for data scientists, and contribute to the design and architecture of ML systems. This fully remote US-based role requires 10+ years of development experience with a focus on Machine Learning and MLOps, strong proficiency in Python and SQL, and experience with deploying and managing ML models in production. SmarterDx offers a competitive salary ($220-270k base + equity), comprehensive benefits including health insurance, paid parental leave, remote work options, and a learning and development budget. Become a Smartian and help optimize healthcare!

Requirements

  • 10+ years of development experience with a focus on Machine Learning and MLOps roles
  • Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
  • 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
  • Experience project managing a small team using a modern agile methodology
  • Experiencing influencing a cross-disciplinary organization to adopt best practices
  • 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

  • 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

  • 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

Benefits

  • $220-270k 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

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