Staff Software Engineer, Machine Learning

SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered. Built by physician-data scientists and trained on clinically-validated EHR data, our clinical AI platform interprets the nuances behind every patient story and makes clinically-sound recommendations for revenue cycle teams — helping hospitals recover earned revenue, improve quality metrics, reduce denials, and streamline revenue cycle operations. As a Smartian, you’ll help build technology that makes healthcare more accurate, sustainable, and effective for everyone. Learn more at . Role 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** What You’ll Do - 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 What You Bring - 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 Nice To Haves - 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 Our Tech Stack - Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s Compensation $230,000 to $250,000 base salary Benefits - Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan. - Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents. - Remote-First Team – Work from anywhere in the U.S. - Unlimited PTO & 11 Holidays – So you can relax and recharge. - 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match. - Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters. - Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues. Originally posted on Himalayas