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Senior Applied AI/ML Scientist

3 months, 2 weeks ago
United States
Full-time
Senior
AI Research Scientist
Software Development
Databricks Feature Engineering Generative AI HIPAA LLM Machine Learning Python PyTorch SageMaker
Apply Now
Capital Rx

Capital Rx

Capital Rx provides comprehensive health benefit management and transparent pharmacy benefit management solutions, integrating various healthcare services to support millions of plan members across diverse sectors.

Health Care Providers & Services
251-1K
Founded 2017
View All Jobs 30

Description

  • Investigate, evaluate, and compare the latest LLM and multimodal models for in-domain use cases.
  • Develop tools and processes for creating data pipelines used in ML training and customization.
  • Fine-tune LLMs for healthcare applications.
  • Build and productionize machine learning solutions for document understanding, search and Q&A, GenAI, and virtual agents.
  • Work through the full ML model lifecycle, including problem definition, data exploration, feature engineering, training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance activities.
  • Troubleshoot technical issues related to AI models, integration, deployment, and backend services.
  • Document and communicate research, development processes, and architectural decisions.
  • Ensure healthcare data security and HIPAA compliance.

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 industry experience with a strong focus on applied AI/ML research and development.
  • Strong grasp of object-oriented programming, design patterns, efficient algorithms, and quality software development.
  • Solid understanding of ML fundamentals, including deep neural networks, transformer-based LLMs and MLMs, boosted or standard decision trees, and RAG.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Experience training, fine-tuning, RLHF, or post-training autoregressive language models such as LLaMA, GPT-x, or Mistral.
  • Experience with open-source LLM platforms and training stacks such as HuggingFace and Deepspeed.
  • Experience with ML platforms such as AWS Sagemaker, Azure ML, or Databricks.
  • Excellent problem-solving skills, attention to detail, and logical thinking.
  • Ability to collaborate across disciplines in a fast-paced startup environment.
  • Good written communication skills for remote collaboration.
  • Experience in healthcare or life sciences is a plus.

Benefits

  • Remote, US base salary range: $142,800 to $225,500 USD.
  • New York, NY base salary range: $180,400 to $225,500 USD.
  • Denver, CO base salary range: $165,600 to $207,000 USD.
  • Equal employment opportunity and a workplace free from discrimination and harassment.
  • Application includes retention of personal data for future consideration, with privacy practices available in the company’s privacy policy.

Interested in this position?

Apply directly on the company website

Apply Now

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