Forward Deployed ML Engineer

Posted 4 Days Ago
Hiring Remotely in USA
Remote
70K-137K Annually
Mid level
Artificial Intelligence • Healthtech • Software
The Role
The Forward Deployed ML Engineer will integrate ML models into clinical software, support customers with implementation, and collaborate across teams for optimal solutions in medical imaging.
Summary Generated by Built In

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 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.

What We Offer:

  • 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. 

HOPPR is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Important Note: This opportunity is open exclusively to US citizens and permanent residents. We kindly request that recruiters and agencies refrain from contacting Dr. Khan Siddiqui or any HOPPR team members directly regarding this role. Unrequested outreach from recruiters will not be entertained or responded to. Thank you for respecting this directive and helping us maintain a focused and efficient hiring process.

Remote - USA
$70,000$137,000 USD

Top Skills

AWS
Azure
C++
Docker
GCP
Kubernetes
Python
PyTorch
TensorFlow
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The Company
HQ: Chicago, IL
49 Employees
Year Founded: 2019

What We Do

HOPPR is building the first multimodal AI foundation model for medical imaging - founded by Khan Siddiqui, (CEO - founder of higi) and Oliver Chen (COO - founder of ilumihealth, acquired by Fosun Pharma) to accelerate AI application development and fine-tuning of AI models. Its deep learning platform is based on a proprietary privacy-compliant trust architecture that brings together data sources and AI/ML developers.

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