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**

• →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

• 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.

• Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s