SmarterDx is a company that builds clinical AI to transform how hospitals manage care and payment. They are seeking a Staff Machine Learning Engineer to develop a machine learning ecosystem and mentor other engineers while focusing on reliable systems and developer experience.
Responsibilities:
- Build and scale machine-learning driven features across multiple products
- Design reusable architecture that powers and accelerates machine learning development across the company
- Set the standard for development and ML practices at SmarterDx and mentor other engineers
Requirements:
- 10+ years of development experience with a focus on Machine Learning and Engineering roles
- Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
- Experience with managing the full model production lifecycle, including deployment, release, and post-launch monitoring
- Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features
- 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
- Strong understanding of data engineering and architecture principles
- Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment
- 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