GrepJob
HOPPR

Forward Deployed ML Engineer

HOPPR
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8 months ago
Remote, WorldwideMid Level / Senior

Base Salary

$70k - $137k/yr

Responsibilities

  • Work side-by-side with clinical, research, and industry partners to understand their imaging AI challenges.
  • Translate clinical workflows and regulatory requirements into technical specifications.
  • Serve as the technical face of HOPPR during deployments.
  • Build and customize pipelines to support AI model fine-tuning, validation, and deployment.
  • Write production-grade code to integrate APIs, data pipelines, and ML models into customer systems.
  • Prototype rapidly while ensuring scalability and compliance.
  • Lead on-site or remote deployments, ensuring customer success.
  • Troubleshoot integrations across hospital PACS, cloud infrastructure, and enterprise systems.
  • Monitor system performance and optimize for reliability, speed, and compliance.
  • Partner with HOPPR’s product, ML research, software engineering and compliance teams to extend platform capabilities.
  • Bring customer feedback into product roadmaps, helping shape features that serve the broader market.
  • Contribute to documentation, demos, and developer resources for customers and internal teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical or Biomedical Engineering, Applied Mathematics, or a related technical field.
  • Strong programming skills (Python, C++, or similar).
  • Experience with cloud environments (OCI, AWS, Azure, GCP).
  • Knowledge of ML frameworks (PyTorch, TensorFlow) and deployment tools (Docker, Kubernetes).
  • Familiarity with data pipelines, distributed systems, or ML deployment.
  • Comfort with APIs, SDKs, and integration of third-party systems.
  • Ability to navigate ambiguity, adapt quickly, and deliver solutions in unstructured environments.
  • Strong communication skills and ability to engage technical and non-technical stakeholders.
  • Willingness to travel to customers when needed.
  • Experience in medical imaging (DICOM, PACS, radiology workflows) desired.

Benefits

  • 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.

Categories

AI & MLData Engineering