Junior ML Engineer - XGBoost & Scikit-learn, Cape Coral

Energy Innovation Corp; Cape Coral (FL); On-site; USD 59,000 - 91,000; Full time

Job summary

Dropbox in Cape Coral is hiring a junior Machine Learning Engineer to build and maintain XGBoost/Scikit-learn pipelines. The role emphasizes scaling workloads, coordinating releases with both local and remote teams, and owning critical ML subsystems.

You will pair with peers to tackle edge cases and resolve production incidents while learning in a mentorship-driven environment. The full‑time position offers a competitive salary range from $59,000 to $91,000 and opportunities to advance as you

Qualifications

• Familiarity with XGBoost and Scikit-learn workflows.
• Ability to work independently and in a tight-knit team.
• Willingness to coordinate releases across multiple teams and locations.
• Mentorship and a growth mindset for rapid learning.

Responsibilities

• Re-architect the dataflow so XGBoost handles heavier load.
• Coordinate releases with stakeholders across Cape Coral, FL and remote teams.
• Own the XGBoost subsystem relied on by other parts of the stack.
• Pair-program tricky Scikit-learn edge cases with engineers.
• Troubleshoot production incidents across Scikit-learn-based apps.

Skills

XGBoost

Scikit-learn

Python

Team collaboration

Tools

Dropbox workflows

Git

CI/CD

Docker

Job description

Dropbox in Cape Coral is hiring a junior Machine Learning Engineer to build and maintain XGBoost/Scikit-learn pipelines. The role emphasizes scaling workloads, coordinating releases with both local and remote teams, and owning critical ML subsystems.

You will pair with peers to tackle edge cases and resolve production incidents while learning in a mentorship-driven environment. The full‑time position offers a competitive salary range from $59,000 to $91,000 and opportunities to advance as you