Staff Machine Learning Engineer, Hippocratic AI

• 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

• Staff Machine Learning Engineers at Hippocratic AI are foundational to the design, deployment, and optimization of cutting-edge ML systems powering our next-generation, safety-focused generative AI for healthcare
• You’ll work closely with research scientists and product teams to build scalable infrastructure and models that support robust, real-time, and personalized conversational AI capabilities
• We are seeking an experienced Staff Machine Learning Engineer to lead the development of machine learning pipelines, contribute to training and inference systems for Large Language Models (LLMs), and drive the productionization of ML models that directly impact healthcare delivery and patient outcomes
• This role is both strategic and hands-on, perfect for someone excited about technical leadership in a fast-paced, mission-driven environment
• Designing scalable, high-performance infrastructure for LLM training, fine-tuning, and inference
• Building ML pipelines and tooling for experimentation, evaluation, and deployment
• Optimizing model performance and efficiency in production environments
• Collaborating cross-functionally to integrate ML solutions into end-user applications
• Maintaining compliance with healthcare standards of safety, privacy, and reliability
• As a Staff ML Engineer at Hippocratic AI, you’ll have a seat at the table in technical decision-making, partner closely with product and research leads, and help define the roadmap for scalable, safe ML systems
• This role offers the chance to be deeply embedded in a team of engineers and scientists pioneering the future of healthcare-focused AI

Total funding: $276m

The healthcare system is under increasing pressure to improve performance and patient outcomes, while battling inefficient operations and an ongoing staff shortage. Hippocratic AI hopes to help the industry address these issues, by supplying LLM-powered healthcare agents.