Join to apply for the Machine Learning Engineer (Remote, PST Preferred) role at HOPPR

Join to apply for the Machine Learning Engineer (Remote, PST Preferred) role at HOPPR

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Company Description:

At HOPPR, we empower developers to build the next generation of AI medical imaging applications, with the goal of making clinical care and workflow optimization more accessible, efficient, and equitable within the healthcare systems they serve.

Company Description:

At HOPPR, we empower developers to build the next generation of AI medical imaging applications, with the goal of making clinical care and workflow optimization more accessible, efficient, and equitable within the healthcare systems they serve.

Role Description:

The Machine Learning Engineer will collaborate with researchers, engineers, and clinicians to design and deploy scalable machine learning solutions, building shared ML infrastructure and optimizing models for production. This role requires a blend of technical expertise, problem-solving skills, and the ability to integrate machine learning solutions into enterprise-grade products, driving innovations that improve patient care.

Key Responsibilities:

• Develop, deploy, and maintain state-of-the-art machine learning models for medical imaging, NLP, and multimodal tasks.
• Design and implement robust, scalable ML pipelines and shared infrastructure to support agile experimentation and deployment.
• Collaborate with researchers to translate novel algorithms into production-ready solutions.
• Build and maintain MLOps tools and practices, including automated testing, continuous integration, and monitoring of deployed models.
• Optimize model performance for speed, reliability, and scalability in production environments.
• Partner with clinicians, engineers, and product teams to align machine learning efforts with clinical and product needs.
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field with 5+ years' experience in relevant roles.
• Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
• Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring.
• Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker and Terraform.
• Familiarity with healthcare data and clinical workflows is a plus.
• Exceptional problem-solving skills, ownership mindset, and a collaborative approach.
• Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.
  
  

• While performing the duties of this job, the employee may be regularly required to stand, sit, talk, hear, reach, stoop, kneel, and use hands and fingers to operate a computer, telephone, and keyboard.
• Specific vision abilities required by this job include close vision requirements due to computer work.
• Regular, predictable attendance is required; including quarter-driven hours as business demands dictate.
• Some travel may be required.
  
  

• Ability to sit at a computer terminal for an extended period.
• Moderate noise (i.e., phone calls, online meetings, computer audio).
  
  

• Innovation: Be a part of a pioneering company at the forefront of generative AI in healthcare, contributing to revolutionary advancements in medical imaging.
• Impact: Play a critical role in transforming radiology and medical imaging through cutting-edge technology, directly impacting patient care and outcomes.
• Growth: Enjoy opportunities for professional development and career advancement in a rapidly growing industry.
• Culture: Join a dynamic and supportive team that values innovation, collaboration, and excellence.
  
  

• Competitive salary and benefits package.
• Opportunity to work with a leading company in AI in medical imaging.
• Flexible working hours and fully remote position, some travel is required.
• Collaborative and innovative work environment.
• Health insurance and retirement plans programs.
• Professional development opportunities and support for continuous learning.
  
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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