Staff Software Engineer, Machine Learning

We are looking for a Staff Machine Learning Engineer to help us build a best in class ML Ecosystem to advance our product suite with clinical AI. The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously, with a relentless focus on reliable systems and developer experience.

**This role is fully remote within the US**

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.

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.