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