Forward Deployed ML Engineer - HOPPR

Company Description:

HOPPR is at the forefront of innovation in medical imaging, developing the first multimodal AI foundation model. Our deep learning platform, unique for its proprietary privacy-compliant trust architecture, integrates diverse data sources with cutting-edge AI/ML development. HOPPR is co-founded by Dr. Khan Siddiqui, a visionary leader with a prolific background including founding higi, former roles at Hyperfine (NASDAQ:HYPR), and Microsoft.

Role Description:

The Forward Deployed ML Engineer (FDE) will support HOPPR partners in integrating machine learning foundation models into their radiological clinical software, assisting with model fine-tuning, prompt engineering, and pre-sales activities such as delivering demos. This position is a client-facing role that involves interacting with existing and potential customers on a regular basis. This role requires a blend of technical expertise, client engagement, and strong collaboration and communication skills to ensure successful implementation and optimal outcomes. At HOPPR , Forward Deployed ML Engineers don’t just write code—they change how medicine is practiced.

Role Overview: As a Forward Deployed ML Engineer (FDE) at HOPPR , you will operate at the intersection of cutting-edge AI technology and real-world clinical impact. FDEs at HOPPR are embedded with customers and partners to design, implement, and deliver solutions that bridge our platform with their workflows. You will act as both a builder and a translator—understanding customer challenges, configuring HOPPR ’s platform, and writing code to deploy AI in high-stakes healthcare environments.

This role is ideal for engineers who thrive on solving ambiguous problems, working closely with end-users, and deploying systems that directly shape how medicine is practiced.

Key Responsibilities:

Product Engineering

• 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.

Solution Development

• 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.

Deployment & Delivery

• 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.

Cross-Functional Collaboration

• Partner with HOPPR ’s product