SmithRx · 7 hours ago
Senior Machine Learning Engineer (Applications)
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. They are seeking a Senior Machine Learning Engineer to drive AI innovation and lead the implementation of AI-powered solutions, working closely with cross-functional teams to deliver impactful results.
Health CareInformation TechnologyPharmaceutical
Responsibilities
Design Generative AI solutions, such as information retrieval and summary generation for support and operations organizations
Partner with Software Engineering teams to build and deploy GenAI applications
Ideate and explore opportunities to deploy GenAI technologies for customer-facing experiences
Drive the adoption and scalability of Generative AI capabilities within SmithRx; advocacy on the technology and evangelize the use of GenAI
Qualification
Required
5+ years of experience in data science, machine learning, and AI development, with proven success leading AI 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
Strong experience working with machine learning and natural language processing techniques and tools
Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters
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
Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks
Experience with training and fine-tuning deep learning models, especially LLMs, and how to tune hyperparameters to ensure task generalization
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 embedding model training and retrieval method evaluation approaches
Experience with LLM architectures, adapters, Mixture of Experts (MoEs) pretraining and fine-tuning techniques
Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches
Experience with reinforcement learning approaches in the context of fine-tuning LLM outputs
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