Salary
💰 $70,000 - $137,000 per year
Tech Stack
AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow
About the role
- Support HOPPR partners in integrating machine learning foundation models into their radiological clinical software.
- Assist with model fine-tuning, prompt engineering, and pre-sales activities such as delivering demos.
- Interact with existing and potential customers on a regular basis.
- Design, implement, and deliver solutions that bridge HOPPR’s platform with customer workflows.
- Write production-grade code to integrate APIs, data pipelines, and ML models into customer systems.
- Lead on-site or remote deployments, ensuring customer success.
- Troubleshoot integrations across hospital PACS, cloud infrastructure, and enterprise systems.
- Partner with HOPPR’s product, ML research, software engineering and compliance teams to extend platform capabilities.
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.
- Competitive base salary + equity.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonC++machine learningmodel fine-tuningprompt engineeringAPIsdata pipelinesML frameworksDockerKubernetes
Soft skills
communication skillsadaptabilityproblem-solvingcustomer engagementteam collaborationnavigating ambiguitysolution deliverystakeholder engagementleadershipcustomer success