Machine Learning Engineer (Generative AI)

TL;DR

Machine Learning Engineer (Generative AI): Building and deploying large language and multimodal foundation models for healthcare with an accent on generative AI and reinforcement learning techniques. Focus on designing ML-driven solutions that improve healthcare delivery and outcomes.

Location: Hybrid (Greater Seattle Area)

Salary: $155,000 to $175,000

Company

hirify.global is the world’s first health provider led data platform focused on saving lives with data.

What you will do

• Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.
• Apply and refine state-of-the-art techniques such as supervised fine-tuning, reinforcement learning-based methods, and retrieval-augmented generation.
• Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions.
• Build scalable infrastructure for distributed training of large models.
• Design and evaluate models for robustness, bias mitigation, and explainability in healthcare contexts.
• Stay current with the latest research in generative AI and contribute to the community.

Requirements

• 6+ years of experience in software engineering or machine learning (3+ years with a PhD).
• Experience designing and training LLMs or large-scale generative models.
• Deep expertise in NLP, sequence modeling, and transformer architectures.
• Proficient in Python and ML libraries such as PyTorch or TensorFlow.
• Experience with RL-based fine-tuning and evaluation of generative systems.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.