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NLP/GenAI-Machine Learning Scientist

2 months ago

Houston, 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 join our team. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying GenAI applications, whether leveraging off-the-shelf technologies or building from scratch, to improve care delivery and quality for post-acute patients. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role.


Responsibilities:

  • Design and develop the next generation of NLP, ML & AI products, and services for healthcare, and work with MLEs and software engineers to ship them into production.
  • Improve processes and tools to generate ground truth for building models
  • Lead the model evaluation processes that ensure accuracy, fairness, and reproducibility
  • Implement and design novel LM approaches inspired by relevant literature
  • Stay up to date with the latest advancements in the field and implement state-of-the-art models from the literature for benchmarking
  • 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
  • Demonstrated experience with LLM techniques, including prompt optimization and parameter-efficient fine-tuning
  • Demonstrated experience building foundation models
  • 3+ years of experience training/pre-training/fine-tuning NLP/GenAI models
  • Demonstrated experience experimenting/building architecture layers in neural networks and constructing customized loss functions
  • Demonstrated experience with RAG, model distillation, reinforcement learning with human feedback (RLHF)
  • Experience with 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
  • Experience with the full ML system development, deployment, and maintenance lifecycle is a plus
  • Experience with Electronic Health Records (EHR) is a plus
  • Experience with medical BERT-based models is a plus (e.g., ClinicalBERT, MedBERT, bioClinicalROBERTa)


Job Type: Full-time

Pay: Competitive pay and benefits and extremely valuable startup stock options

Salary: $150,000+ depending on experience

Schedule: Full Time

  • Work Location: Hybrid position in Houston


Benefits:


  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance