Smithrx
🧠 Principal Machine Learning Engineer
📍 Remote (U.S. – Select States Only) | 💼 Full-Time | 🏥 HealthTech | 🧬 AI/ML |
About SmithRx
SmithRx is disrupting the pharmacy benefit management (PBM) industry through advanced technology and a customer-first mindset. We’re on a mission to deliver affordable, transparent drug pricing backed by real-time insights and powerful ML-driven solutions. With a rapidly scaling platform and hundreds of thousands of members onboarded since 2016, we’re rewriting the rules of prescription benefits.
🧭 Core Values:
- Integrity – Radical transparency builds trust.
- Courage – We challenge industry norms without compromise.
- Together – Inclusive collaboration drives everything we do.
The Opportunity
We’re looking for a Principal Machine Learning Engineer to take full ownership of SmithRx’s AI/ML strategy and lead the delivery of scalable, high-impact ML solutions. Reporting into our Data & Engineering leadership, this role will drive innovation in data architecture and predictive modeling across the organization — from anomaly detection to cost prediction and patient outcomes optimization.
🗺️ Eligible States: AR, AZ, CA, CO, FL, GA, KS, MN, MO, NV, OH, PA, TN, TX, UT, VA, WA, WI
Key Responsibilities
- Own the end-to-end lifecycle of ML initiatives — from problem scoping and data wrangling to deployment and monitoring.
- Architect and deploy production-grade ML models for anomaly detection and prediction using large-scale healthcare datasets.
- Build and maintain robust, scalable ML pipelines integrated into Snowflake and other modern cloud environments.
- Champion data quality, governance, and HIPAA-compliance in all AI/ML operations.
- Collaborate cross-functionally with Product, Engineering, and Data teams to embed ML capabilities in customer-facing solutions.
- Lead and mentor ML engineers, fostering a culture of innovation, peer learning, and technical excellence.
What You’ll Bring
✅ 12+ years of combined experience in data engineering, data science, or ML roles
✅ Proven track record of deploying ML solutions in high-stakes environments (healthcare a plus)
✅ Advanced proficiency in Python, SQL, and ML libraries (e.g., TensorFlow, scikit-learn, PyTorch)
✅ Experience with cloud-based warehouses (e.g., Snowflake, PostgresDB, DynamoDB), orchestration tools like Airflow, Spark, DBT, and infrastructure tools like Terraform
✅ Deep knowledge of data architecture: OLAP, OLTP, NoSQL, and real-time streaming pipelines
✅ Strong stakeholder influence and communication skills — you’ll interface with technical and non-technical leaders alike
✅ Degree in Computer Science, Information Systems, or a related discipline (BS required; MS/PhD preferred)
💸 Compensation & Benefits
- Competitive salary (commensurate with experience)
- Stock options & 401(k) plan
- Comprehensive health insurance (medical, dental, vision, life)
- Paid parental leave & flexible time off
- Professional development stipends
- Remote-first culture with nationwide reach
- Wellness and commuter benefits
📨 How to Apply
Submit your resume and cover letter via the SmithRx Careers Portal or email them to careers@smithrx.com.
LinkedIn profiles are welcome. Please indicate your state of residence.
