Staff Applied AI/ML Scientist

What you'll do

• Evaluate LLM and multimodal models for accuracy and efficiency; develop healthcare-domain training data pipelines and fine-tune models.
• Build and productionize ML solutions for document understanding, search and Q&A, GenAI, and virtual agents across the model lifecycle.
• Collaborate with stakeholders, address technical issues, document decisions, and ensure healthcare-data security and HIPAA compliance.

What they ask for

• Bachelor’s, Master’s degree or higher in Computer Science, Machine Learning, or a related quantitative field.
• Minimum 8 years of industry experience focused on applied AI/ML research and development.
• Strong Python proficiency and familiarity with ML libraries such as PyTorch; experience training or fine-tuning open-weights autoregressive LLMs.
• Experience with open-source LLM training platforms and stacks, and ML platforms.

Nice to have

• PhD.
• Experience in healthcare or life sciences.

Pay

$189,600 — $237,000 USD (base salary); $174,000 — $217,500 USD (base salary); $158,000 — $197,500 USD (base salary)

Tools

Python, PyTorch, GLM, Qwen, Gemma, LLaMA, HuggingFace, Deepspeed

AI focus

Investigates, evaluates, customizes, and productionizes LLMs, multimodal models, and other ML for healthcare automation, document understanding, search and Q&A, GenAI, and virtual agents.