Senior AI/ML Applied Scientist

October 28

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🧬 Research Scientist

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Capital Rx

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Healthcare Insurance • Fintech • Artificial Intelligence

Capital Rx is the fastest growing healthtech company in America, dedicated to transforming the prescription pricing and patient care landscape. Founded in 2017, it offers innovative pharmacy benefit management (PBM) services, including customizable pharmacy benefits for large employers and an AI-powered care navigation platform. Capital Rx focuses on delivering cost-effective solutions and operational efficiencies to clients while ensuring transparency and quality care for patients.

501 - 1000 employees

Founded 2017

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

📋 Description

• Investigate the latest LLM MLM models and evaluate and compare accuracy and efficiency for our in-domain use cases • Develop tools and processes to create data pipelines for ML training and customization • Finetune LLMs for the healthcare domain • Help develop and productionize machine learning (ML) solutions leveraging our customized models in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. • Participate in code reviews, testing, and quality assurance processes. • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. • Document and communicate research and development processes, and architectural decisions. • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. • All employees are responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. • Minimum 4 years of experience in industry with a strong focus on applied AI/ML research and development • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. • Solid understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. • Strong proficiency in Python and familiarity with ML libraries such as PyTorch. • Experience with training (pre-training / fine-tuning / RLHF / post-training) autoregressive language models like LLaMA, GPT-x, Mistral etc. • Experience with open-source LLM platforms and training stack (e.g., HuggingFace, Deepspeed etc.). • Experience with ML platforms such as AWS Sagemaker, Azure ML, Databricks etc. • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. • Passion for customer, innovation, product quality • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. • Good written communication skills that enable collaboration in a remote environment. • Experience in healthcare or life sciences is a plus.