Machine Learning Engineer, Health AIML

What you'll do

• Design, implement, tune, and evaluate machine learning models and systems.
• Solve complex problems involving unique data and high-impact health products.
• Develop and deploy state-of-the-art generative AI technologies.
• Build and troubleshoot modern agentic systems including prompt tuning, RAG, and multi-agent workflows.
• Apply engineering best practices to integrate novel research techniques into consumer products.
• Work with large-scale models using frameworks like TensorFlow, PyTorch, Jax, or Huggingface.
• Develop machine learning capabilities for production-level features in the healthcare domain.

What we're looking for

• 10+ years of overall software development experience.
• BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or a related field.
• Experience leading teams or collaborating cross-functionally to deliver customer-facing features with machine learning capabilities in production.
• 5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets or production applications.
• Strong background in generative models, natural language processing (NLP), and large language models (LLMs).
• Proficiency developing with modern machine learning packages such as TensorFlow, PyTorch, Jax, or Huggingface.
• Proficiency building and troubleshooting agentic systems including prompt tuning, RAG, and multi-agent systems.
• Experience with healthcare data, products, and workflows.