Python Engineer, ML Tooling & Annotation Platform

About RAAD

RAAD operates a global aerial intelligence network. Clients order high-resolution site imagery, thermal inspections, and 3D data through our platform; our pilot network captures it; and our processing and vision-model pipeline turns raw imagery into structured, georeferenced answers — often within hours. We run our own hardware end to end: capture fleets in the field, GPU processing clusters we built ourselves, and deployments that span public cloud, our own data centers, and secure on-prem environments inside client facilities.

We're growing fast across every region we operate in, and we're hiring people who want to help scale systems and operations that already work — and make them work at ten times the volume.

The Role

Model quality scales with data quality, and data quality scales with tooling. Our internal annotation and dataset platform is how millions of aerial frames become training data: labeling interfaces, QA queues, automated pre-labeling with existing models, dataset versioning, and the pipelines that feed training runs. As the ML team grows, this platform is the multiplier — and it needs an owner-builder.

What you'll do

• Build and extend our annotation platform: task routing, consensus review, model-assisted pre-labeling with YOLO inference in the loop.
• Own dataset infrastructure — versioned datasets, class taxonomy management, stratified splits, and the lineage from raw capture to trained model.
• Write the glue that makes training reproducible: experiment tracking, config management, GPU job submission to our own clusters.
• Ship clean, tested Python services and CLIs that ML engineers and annotation teams rely on daily.

What you'll bring

• 4+ years of production Python — services, APIs, and data pipelines, not just scripts.
• Experience supporting ML workflows (annotation systems, dataset management, or training infrastructure).
• Pragmatism about tooling: you build what the team needs, measure whether it's used, and delete what isn't.

Benefits & perks

Competitive pay & equity

Strong base salary plus meaningful equity — everyone shares in what we're building.

Remote-first

Work from anywhere in your role's region. Async-friendly, documentation-driven culture.

Generous time off

Flexible PTO plus your local public holidays. We expect you to use it.

Health, dental & vision

Comprehensive coverage for you and your dependents, tailored to your country.

Gear & home office budget

Top-spec hardware and a budget to build a workspace you actually enjoy.

Learning & travel

Annual learning budget and team offsites — plus real field time with the operations your work powers.