Staff Machine Learning Engineer, Applied Science at Hippocratic AI

Palo Alto, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

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

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
Contributing to technical decision-making and defining the roadmap for scalable, safe ML systems