Judi Health - Senior Applied AI/ML Scientist
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Requirements
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. • PhD in AI, Machine Learning or Computer Science preferred • 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. • This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job.
Responsibilities
• 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.
Benefits
• $142,800—$225,500 USD • $180,400—$225,500 USD • $165,600—$207,000 USD • All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
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