Senior Applied AI/ML Scientist

What you'll do

• Evaluate LLM and MLM models for accuracy and efficiency in healthcare use cases; build data pipelines and fine-tune models for the healthcare domain.
• Develop and productionize ML solutions for document understanding, search and QnA, GenAI, and virtual agents across the model lifecycle.
• Support code reviews, testing, troubleshooting, documentation, and healthcare data security and HIPAA compliance.

What they ask for

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
• Minimum 4 years of industry experience focused on applied AI/ML research and development.
• Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
• Experience training autoregressive language models and using open-source LLM platforms and training stacks.

Nice to have

• PhD in AI, Machine Learning or Computer Science.
• Experience in healthcare or life sciences.

Pay

$180,400 — $225,500 USD (base salary); $165,600 — $207,000 USD (base salary); $150,400 — $188,000 USD (base salary)

Tools

Python, PyTorch, LLaMA, GPT-x, Mistral, HuggingFace, Deepspeed, AWS Sagemaker

AI focus

Applied AI/ML research and development for healthcare automation, including LLM/MLM evaluation and fine-tuning, ML training data pipelines, and conversational AI, document understanding, search and QnA, GenAI, and virtual agents.