Forward Deployed ML Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

HOPPR · 2 months ago

Forward Deployed ML Engineer

HOPPR is at the forefront of innovation in medical imaging, developing the first multimodal AI foundation model. The Forward Deployed ML Engineer will support partners in integrating machine learning models into clinical software, requiring technical expertise and strong client engagement.

Artificial Intelligence (AI)Health CareHealth DiagnosticsInformation TechnologyMedicalSoftware
badNo H1BnoteU.S. Citizen Onlynote

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

Qualification

Machine LearningPythonCloud EnvironmentsML FrameworksData PipelinesAPIs IntegrationMedical ImagingCommunicationAdaptabilityCollaboration

Required

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

Preferred

Experience in medical imaging (DICOM, PACS, radiology workflows) desired

Benefits

Medical/dental/vision
401k
PTO
Parental leave

Company

HOPPR

twittertwitter
company-logo
At HOPPR, we empower developers to build AI medical imaging apps to improve care access, efficiency & equity in healthcare.

Funding

Current Stage
Early Stage
Total Funding
$31.5M
2025-06-17Series A· $31.5M

Leadership Team

leader-logo
Khan Siddiqui
Co-Founder & CEO
linkedin
Company data provided by crunchbase