
Artificial Intelligence • Healthcare Insurance • Pharmaceuticals
HOPPR is a company that provides a generative AI platform designed to transform medical imaging. The company offers a comprehensive generative AI model infrastructure to accelerate AI development for medical imaging across various modalities. HOPPR simplifies AI development with its foundational infrastructure, ensuring secure data handling and seamless model fine-tuning. It prioritizes privacy and data security, providing diverse datasets across different modalities, anatomies, demographics, and geographies. HOPPR aims to expedite development by offering a scalable, high-performance GPU environment, enabling faster prototyping and scalable applications for research and medical imaging services.
February 11

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals
HOPPR is a company that provides a generative AI platform designed to transform medical imaging. The company offers a comprehensive generative AI model infrastructure to accelerate AI development for medical imaging across various modalities. HOPPR simplifies AI development with its foundational infrastructure, ensuring secure data handling and seamless model fine-tuning. It prioritizes privacy and data security, providing diverse datasets across different modalities, anatomies, demographics, and geographies. HOPPR aims to expedite development by offering a scalable, high-performance GPU environment, enabling faster prototyping and scalable applications for research and medical imaging services.
• Join HOPPR as a Machine Learning Engineer and play a pivotal role in shaping the future of multimodal AI in medicine. • Collaborate with researchers, engineers, and clinicians to design and deploy scalable machine learning solutions trained over vast amounts of data. • You’ll build shared ML infrastructure, optimize models for production, and integrate them into enterprise-grade products, delivering innovations that transform patient care.
• Master’s or PhD in Computer Science, Engineering, or a related field with 3+ years' experience in relevant roles. • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow. • Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring. • Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker, Kubernetes, or Terraform. • Knowledge of data engineering principles, including data manipulation tools like SQL and pandas. • Familiarity with healthcare data and clinical workflows is a plus. • Exceptional problem-solving skills, ownership mindset, and a collaborative approach.
• Competitive base salary + equity. • A key role in a fast-growing startup with immense potential. • Generous benefits: medical/dental/vision, 401k, PTO, and parental leave. • Remote first with hybrid options available at our NYC and SF Bay Area offices. • An innovative, collaborative, and supportive work environment. • Incredible teammates who inspire growth and learning.
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