AI/ML Research Engineer

Role Overview

AI/ML Research Engineer (project-based) at Ode. You’ll join as AI/ML Engineering support when client work requires training or adapting models that can’t be handled by off-the-shelf solutions.

What You’ll Do

• Assess whether a client problem needs custom model training or can be solved via existing models + adaptation techniques
• Fine-tune or train geospatial and other domain-specific ML models for client use cases
• Prepare and validate training datasets, including messy or undocumented geospatial sources
• Design and implement evaluation criteria and test suites for the models you train
• Document models, training procedures, and evaluation results for handoff to AI Applications and Platform Engineers
• Communicate with non-technical clients and domain experts about model capabilities, limitations, and tradeoffs

Requirements / You’re a Fit If…

• Hands-on experience training or fine-tuning geospatial/remote sensing models
• Ability to evaluate the problem level of effort and recommend the right degree of intervention (or advocate for simpler approaches when appropriate)
• Strong evaluation mindset: you design evaluations as part of the work
• Comfort working in short, focused engagements with high autonomy
• Ability to handoff work clearly so engineers can deploy and maintain it

Collaboration / Working Style

• Small team with close collaboration across AI Applications Engineers, Platform Engineers, data scientists, designers, and environmental domain experts
• Decisions show up quickly in production; direct interaction with end users

Hiring Process

• Ode hires based on what you’ve built (portfolio/work) regardless of formal credentials

How to Apply

• Email your resume and a short note about a project you’re proud of to [email protected]