Senior Applied AI/ML Scientist

Capital Rx

Senior Applied AI/ML Scientist at Judi Health utilizing AI/ML to enhance healthcare technology solutions. Focus on LLMs, working collaboratively in a high-growth startup environment.

Posted 5/26/2026full-timeRemote • Colorado, New York • 🇺🇸 United StatesSenior💰 $142,800 - $225,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzurePythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
retirement plans
paid time off
flexible work arrangements
professional development
stock options
wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningDeep Neural NetworksTransformer-based LLMMLMPythonOOPDesign PatternsAlgorithmsFeature EngineeringModel Training

Soft Skills

Problem-solvingAttention to detailLogical thinkingCollaborationCommunicationInnovationCustomer focus

Certifications

Bachelor's degree in Computer ScienceMaster's degree in Machine LearningPhD in AI