NLP/GenAI Machine Learning Expert

1 week ago


Burnaby, British Columbia, Canada Altea Healthcare Full time
Job Title: NLP/GenAI Machine Learning Expert

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 significantly to designing, implementing, and deploying GenAI applications.

Key Responsibilities:
  • Design and Develop NLP, ML & AI Products: Develop the next generation of NLP, ML & AI products and services for healthcare, working with MLEs and software engineers to ship them into production.
  • Improve Processes and Tools: Improve processes and tools to generate ground truth for building models.
  • Model Evaluation: Lead the model evaluation processes that ensure accuracy, fairness, and reproducibility.
  • Implement Novel LM Approaches: Implement and design novel LM approaches inspired by relevant literature.
  • Stay Up-to-Date with the Latest Advancements: 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: Document model architectures, design decisions, and codebase to facilitate future maintenance and enhancements.
Requirements:
  • Master's or PhD Degree: Master's or PhD degree in ML, NLP, information retrieval, or a related field.
  • Experience with State-of-the-Art NLP Algorithms: Experience with state-of-the-art NLP algorithms and AI models.
  • Demonstrated Experience with LLM Techniques: Demonstrated experience with LLM techniques, including prompt optimization and parameter-efficient fine-tuning.
  • Demonstrated Experience Building Foundation Models: Demonstrated experience building foundation models.
  • 3+ Years of Experience: 3+ years of experience training/pre-training/fine-tuning NLP/GenAI models.
  • Demonstrated Experience Experimenting/Building Architecture Layers: Demonstrated experience experimenting/building architecture layers in neural networks and constructing customized loss functions.
  • Demonstrated Experience with RAG, Model Distillation, and RLHF: Demonstrated experience with RAG, model distillation, reinforcement learning with human feedback (RLHF).
  • Experience with Small and Large Language Models: Experience with small and large language models, and multi-modal LLMs.
  • Familiarity with NLP Similarity Metrics and LLM-Based Evaluation Frameworks: Familiarity with NLP similarity metrics and LLM-based evaluation frameworks (RAGAS).
  • Extensive Experience with TensorFlow or PyTorch: Extensive experience with TensorFlow or PyTorch, HuggingFace, Transformers, LangChain, vectorDB and cloud platforms (Azure).
  • Ability to Work Independently and Collaboratively: 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: Experience with the full ML system development, deployment, and maintenance lifecycle is a plus.
  • Experience with Electronic Health Records (EHR): Experience with Electronic Health Records (EHR) is a plus.
  • Experience with Medical BERT-Based Models: 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: Onsite in Burnaby

Benefits:

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


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