Note: The job is a remote job and is open to candidates in USA. Ode is a technology studio focused on providing data, AI, and design capabilities to organizations tackling environmental issues. The role of AI/ML Research Engineer involves training and adapting models for geospatial applications, collaborating with AI Applications Engineers and Platform Engineers to ensure model readiness for deployment.

Responsibilities

• Assess whether a client problem requires custom model training or can be solved with existing models and 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 models you train
• Document models, training procedures, and evaluation results for handoff to the AI Applications and Platform Engineers
• Communicate clearly with non-technical clients and domain experts about model capabilities, limitations, and tradeoffs

Skills

• Hands-on experience training or fine-tuning geospatial or remote sensing models
• Ability to assess a problem and recommend the right level of model intervention or argue for a simpler approach when warranted
• Design evaluations as part of the work, not as an afterthought
• Comfortable working in short, focused engagements with a high degree of autonomy
• Ability to hand off work clearly to engineers who will deploy and maintain it

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