Machine Learning Engineer

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

Pour People Management and Scikit-learn into work that survives contact with real traffic, and you'll fit right in as our junior Machine Learning Engineer in Cape Coral. The appeal is layered — $59,000 - $91,000, a full-time rhythm, technology ownership, and a Dropbox crew that backs bold calls.

Key Responsibilities

• Re-architect the technology flow so XGBoost handles ten times Cape Coral's current load
• Coordinate releases with stakeholders across Cape Coral, FL and remote teams
• Own the endlessly-iterating XGBoost subsystem that the rest of Dropbox quietly depends on
• Pair-program tricky Scikit-learn edge cases with engineers across Cape Coral, FL
• Troubleshoot and resolve production incidents across Scikit-learn-based applications

What You'll Bring

• Ability to thrive both independently and as part of a tight-knit team
• The composure to deliver bad news early and clearly
• The integrity to flag your own mistakes first
• A learner's pace that keeps up with shifting requirements
• A steady hand when three priorities all claim to be number one
• Familiarity with Dropbox-scale workflows, or the appetite to reach them

You can trace a lot of FL's technology momentum back to a scrappy-but-steady little team called Dropbox in Cape Coral. Feedback flows in every direction, so good ideas reach the table no matter who voices them.

At $59,000 - $91,000, with mentorship and a benefits suite to match, this Machine Learning Engineer seat at Dropbox is built for people who want to rise.

Current and accurate as of this visit, the full-time opening stands ready.