Staff Machine Learning Engineer, Applied Science

Staff Machine Learning Engineer position at Hippocratic AI, responsible for designing, deploying, and optimizing cutting-edge ML systems for healthcare-focused generative AI. The role involves leading the development of machine learning pipelines, contributing to training and inference systems for Large Language Models, and driving the productionization of ML models that directly impact healthcare delivery and patient outcomes.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; PhD is a plus
• 7+ years of industry experience building and deploying ML systems, ideally with focus on LLMs or deep learning
• Strong software engineering skills and experience developing in Python
• Deep experience with ML frameworks like PyTorch or TensorFlow
• Familiarity with distributed training frameworks (e.g., DeepSpeed, FSDP, Horovod)
• Proven experience designing, implementing, and scaling ML pipelines for large models
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes, Docker)
• Exposure to healthcare, clinical, or life sciences data is a strong plus

Benefits

• Innovative Mission: Developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale
• Visionary Leadership: Co-founded by CEO Munjal Shah and a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions
• Strategic Investors: Backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA's NVentures, Premji Invest, SV Angel, and six health systems
• World-Class Team: Composed of leading experts in healthcare and artificial intelligence, ensuring technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes