Forward Deployed Ml Engineer

Hoppr

Remote, USA
Base: $70,000 - $137,000 usd; bonus/equity: equity...
Remote
Fine-tuning machine learning models
Prompt engineering for ai
Client-facing technical role
The Forward Deployed ML Engineer (FDE) will support HOPPR partners in integrating machine learning foundation models into their radiological clinical software

Job Summary

  • The Forward Deployed ML Engineer (FDE) will support HOPPR partners in integrating machine learning foundation models into their radiological clinical software.
  • FDEs at HOPPR are embedded with customers and partners to design, implement, and deliver solutions that bridge our platform with their workflows.
  • 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.

Matching Summary

The Forward Deployed ML Engineer (FDE) will support HOPPR partners in integrating machine learning foundation models into their radiological clinical software.

Salary

Base: $70,000 - $137,000 USD; Bonus/Equity: equity; Benefits: medical/dental/vision, 401k, PTO, and parental leave

Skills & Requirements

Must-have

  • fine-tuning machine learning models
  • prompt engineering for AI
  • client-facing technical role
  • production-grade code integration
  • troubleshoot system integrations
  • Python, C++ programming skills

Nice-to-have

  • medical imaging experience
  • customer feedback into roadmaps
  • solving ambiguous problems
  • working closely with end-users

Key Requirements

  • Bachelor’s or Master’s degree
  • Experience with cloud environments
  • Knowledge of ML frameworks
  • Familiarity with data pipelines
  • Comfort with APIs and SDKs
  • Ability to navigate ambiguity
  • Strong communication skills
  • Willingness to travel

Work Rights

US citizen or permanent resident

Tailored Resume

Cover Letter