Full-Time Staff Software Engineer, Machine Learning

• Craft, implement, and maintain MLOps tools and practices.
• Optimize model performance and scalability.
• Build tools to improve the lives of our data scientists.
• Contribute to the design and architecture of our ML systems.

• 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.
• 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.

• Former startup founder, or have been the first engineering hire at a startup
• Experience in the health tech domain
• Experience with end-to-end machine learning project lifecycle.
• Deployment of LLM systems into Production environments.
• Contributions to open-source projects

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