Senior Applied AI/ML Scientist

Position Summary

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) Applied Scientists to join our team and contribute to the development of Large Language Models (LLMs) aimed at advancing state-of-the-art for AI-based automation for Healthcare.

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

Required Qualifications

• 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.

New York, NY Salary Range

$180,400 - $225,500 USD

Denver, CO Salary Range

$165,600 - $207,000 USD

Charlotte, NC Salary Range

$150,400 - $188,000 USD

Benefits

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Contact

To apply for this job, please submit your application through the provided link.