Ml Engineer

HOPPR

Remote
Remote
Python
Pytorch or tensorflow
Mlops practices
HOPPR is seeking a Machine Learning Engineer to develop and deploy state-of-the-art AI solutions in the medical imaging field. The role emphasizes collaboration with researchers and clinicians, focusing on scalable ML infrastructure and tools while offering a remote-first work environment

Job Summary

  • Join HOPPR as a Machine Learning Engineer and play a pivotal role in shaping the future of multimodal AI in medicine.
  • You’ll build shared ML infrastructure, optimize models for production, and integrate them into enterprise-grade products, delivering innovations that transform patient care.
  • 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.

Matching Summary

Match Score: 85

HOPPR is seeking a Machine Learning Engineer to develop and deploy state-of-the-art AI solutions in the medical imaging field. The role emphasizes collaboration with researchers and clinicians, focusing on scalable ML infrastructure and tools while offering a remote-first work environment.

Skills & Requirements

Must-have

  • Python
  • PyTorch or TensorFlow
  • MLOps practices
  • cloud platforms (AWS, GCP, Azure)
  • Docker, Kubernetes, or Terraform

Nice-to-have

  • healthcare data and clinical workflows
  • ownership mindset
  • collaborative approach

Key Requirements

  • Master’s or PhD in Computer Science, Engineering, or related field
  • 3+ years' experience in relevant roles
  • US citizens and permanent residents

Work Rights

US citizenship or permanent residency required

Tailored Resume

Cover Letter