Senior Machine Learning Engineer

Summary

Join SmithRx, a rapidly growing Health-Tech company, as a Data Scientist specializing in generative AI. You will lead AI innovation, implementing AI-powered solutions to improve productivity, quality, and customer experiences. This key role requires at least 5 years of experience in machine learning and AI development, with a proven track record of leading AI initiatives. You will collaborate with cross-functional teams to deliver impactful AI solutions. The position requires expertise in Large Language Models (LLMs) and related technologies. SmithRx offers a competitive benefits package.

Requirements

• 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)
• 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

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

Preferred Qualifications

• 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 Holidays
• Wellness Benefits
• Commuter Benefits
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities