NLP/GenAI Machine Learning Scientist
3 weeks ago
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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