Forward Deployed ML Engineer

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, 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.

Minimum Qualifications

• 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