Principal Machine Learning Engineer, SmithRx

• As we continue to expand, we are seeking an experienced Principal Machine Learning engineer with expertise in data engineering and AI/ML
• A minimum of 5 years of experience in machine learning (ML) development, with proven success in leading ML initiatives, is required
• BS, MS, or PhD in Computer Science, Information Systems, or a related field, with 12+ years of experience in data engineering, data science, or a similar role
• Strong expertise in data architecture, database design, and optimization, with experience in OLTP, OLAP, NoSQL, and cloud-based data warehouses (e.g., AWS Snowflake, PostgresDB, DymanoDB, etc )
• Proficiency in programming languages such as Python, and SQL, and tools like Spark, PySpark, Airflow, DBT, Snowflake, Cortext, OpenAI, and Terraform
• Proficiency in machine learning frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch, with hands-on experience in building and deploying machine learning models in production. Track records in developing and deploying ML models, preferably within the healthcare or related industries
• Ability to lead cross-functional teams, influence stakeholders, and manage complex projects in a fast-paced environment
• Strong analytical and problem-solving skills, with the ability to handle evolving requirements and ambiguous challenges
• Excellent communication and presentation skills, capable of conveying complex technical concepts to both technical and non-technical audiences
• If you’re a seasoned data engineer with a passion for innovation and a desire to lead cutting-edge projects at the intersection of data engineering and data science, we’d love to hear from you

• SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences
• In this key role, you will take ownership of driving ML innovation and leading the technology strategy for modern data platforms
• You will collaborate with cross-functional leaders to deliver impactful ML/AI solutions that directly influence our business outcomes
• Develop strategies across the entire AI/ML project lifecycle. This includes seamless integration with data platforms, spanning from problem definition and data preparation to model deployment and performance monitoring
• Design, develop, and deploy machine learning models that drive anomaly detection, and predictive insights, leveraging data from our enterprise data warehouse ecosystems
• Build data pipelines and ensure scalable, efficient ML pipelines and workflows for the entire model lifecycle, from problem definition and data preparation to model deployment and monitoring
• Maintain a focus on data quality, security, and compliance in all AI/ML initiatives, particularly within healthcare
• Provide technical leadership, mentoring, and guidance to team members, establishing and enforcing best practices in data engineering and data science
• Collaborate with product managers, data engineers, and engineer leadership to define use cases and integrate AI models and algorithms into existing systems and applications

• Apply with your resume and cover letter to join the SmithRx team!

• Wellness: Extensive Medical, Dental and Vision plans
• Life and Disability: Fully paid Life Insurance and Disability coverage
• Parental Leave: Paid leave benefits for new parents
• Career Growth: Training, development and advancement support
• Vacation Time: Generous and flexible paid time off

Total funding: $97.5m

PBMs (Pharmacy Benefit Managers) save payers and patients 40% to 50% on prescription drug and related medical costs in the US, compared to what they would spend without them. It’s generally accepted, though, that PBMs are working for profit and not solely on the customers benefit.