Senior Machine Learning Engineer

Summary

Join SmithRx, a rapidly growing Health-Tech company, as a Data Scientist to leverage your machine learning expertise and drive impactful AI solutions. You will design and implement ML solutions, collaborate with cross-functional teams, and identify innovative ML use cases. This key role requires 5+ years of experience in machine learning/AI development and a strong mathematical background. You will work with a rich data set to improve productivity and quality, impacting both customer-facing and internal tooling. The position offers the opportunity to contribute to a scalable ML infrastructure and act as a thought partner on emerging ML/AI capabilities. Successful candidates must be located in one of the specified states.

Requirements

• 5+ years of experience in data science, machine learning/AI development, with proven success leading impactful initiatives
• MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields
• Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning)
• Strong mathematical background (linear algebra, calculus, probability, and statistics)
• Proficiency in Python and object-oriented programming
• Working knowledge of MLOps to build and roll out models to production with incremental improvements
• Strong experience working with a broad range of machine learning techniques and tools
• Strong experience with retrieval methods e.g. using embeddings
• Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc
• Ability to drive a project and work both independently and within a cross-functional team
• Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience

Responsibilities

• Design and implement end-to-end ML solutions across a variety of high-impact domains, including anomaly detection, claims optimization, and eligibility validation
• Collaborate with software and data engineering teams to productionize ML models and integrate them into core business workflows
• Leverage the rich data in claims to uncover new, innovative ML use cases that drive business value, improve decision-making, or optimize operations
• Identify and prototype use cases for GenAI that could enhance customer experience, increase automation, or improve transparency in decision-making
• Contribute to building a scalable ML infrastructure and help establish best practices in model development, evaluation, and monitoring
• Act as a thought partner on emerging ML/AI capabilities, including GenAI, and support the team in evaluating their applicability to PBM challenges

Preferred Qualifications

• Experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch and MLInfra tools like (SageMaker, Bedrock or alike)
• Strong understanding of data analysis, statistical modeling, different types of anomaly and fraud detection algorithms
• Experience with time series analysis and multivariate time series modeling

Benefits

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
• Flexible Spending Benefits
• 401(k) Retirement Savings Program
• Short-term and long-term disability
• Discretionary Paid Time Off
• 12 Paid Holidays
• Wellness Benefits
• Commuter Benefits
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities