NLP/GenAI Machine Learning Scientist

3 weeks ago


Houston, Texas, United States Altea Healthcare Full time

Machine Learning Scientist/Engineer – NLP/GenAI Foundation Models

Altea Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Scientist/Engineer with deep subject matter expertise in NLP/GenAI Foundation Models to contribute to designing, implementing, and deploying GenAI applications that improve care delivery and quality for post-acute patients.

Key Responsibilities:

  • Design and develop next-generation NLP, ML & AI products and services for healthcare, collaborating with MLEs and software engineers to ship them into production.
  • Improve processes and tools to generate ground truth for building models, ensuring accuracy, fairness, and reproducibility.
  • Lead model evaluation processes, implementing novel LM approaches inspired by relevant literature and staying up-to-date with the latest advancements in the field.
  • Document model architectures, design decisions, and codebase to facilitate future maintenance and enhancements.
  • Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines.

Requirements:

  • Master's or PhD degree in ML, NLP, information retrieval, or a related field.
  • Experience with state-of-the-art NLP algorithms and AI models, including LLM techniques, prompt optimization, and parameter-efficient fine-tuning.
  • Demonstrated experience building foundation models, experimenting with architecture layers in neural networks, and constructing customized loss functions.
  • Experience with RAG, model distillation, reinforcement learning with human feedback (RLHF), and small and large language models, and multi-modal LLMs.
  • Familiarity with NLP similarity metrics and LLM-based evaluation frameworks (RAGAS).
  • Extensive experience with TensorFlow or PyTorch, HuggingFace, Transformers, LangChain, vectorDB, and cloud platforms (Azure).
  • Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines.

Benefits:

  • Competitive pay and benefits.
  • Extremely valuable startup stock options.
  • 401(k), dental insurance, health insurance, and vision insurance.


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