SmithRx · 15 hours ago
Senior Machine Learning Engineer (Platform)
United States
Full-time
Remote
Senior Level
5+ years expSmithRx is a rapidly growing, venture-backed Health-Tech company dedicated to transforming the pharmacy benefit management sector. The Senior Machine Learning Engineer will leverage machine learning technologies to drive impactful solutions and collaborate with cross-functional teams to improve business outcomes.
Health CareInformation TechnologyPharmaceutical
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
Qualification
Required
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
Preferred
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 Company Holidays
Wellness Benefits
Commuter Benefits
Paid Parental Leave benefits
Employee Assistance Program (EAP)
Well-stocked kitchen in office locations
Professional development and training opportunities
Company
SmithRx
SmithRx is reinventing PBMs with modern technology, client alignment, and 100% transparency.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$104.66MKey Investors
VenrockFounders Fund
2024-01-23Series C· $60M
2022-03-10Series B· $27.16M
2021-01-03Series A
Leadership Team
Alexandra Morrison
Talent Acquisition Partner
Bryan Fowler
Partner Relationship Manager
Recent News
Seattle TechFlash
2025-07-26
2025-05-17
Company data provided by crunchbase