As an ML Research Engineer, you’ll help design, implement, and deploy novel deep learning models for forecasting weather and weather-derived outcomes like energy production and streamflow. You’ll stay at the cutting edge of AI research and be responsible for prototyping and productionizing new architectures, including adapting research papers into working code at scale. This role sits at the intersection of applied machine learning and cloud-native engineering. You’ll contribute to everything from experimental model design and benchmarking to GPU-accelerated training workflows and deployment pipelines. Ideal candidates are fast-moving researchers who can write clean, efficient code, and are excited about real-world impact.

We're looking for a founding Account Executive to own the end‑to‑end sales process. Your role will include identifying prospects, delivering demos, negotiating contracts, and closing deals for Erode AI’s AI‑driven renewable energy forecasting platform. You’ll work closely with the founders to refine our go‑to‑market strategy and build the revenue engine from the ground up.

In this role, you’ll play a key role in the full-stack development of our core platform—building everything from scalable, serverless APIs and resilient data pipelines to polished, responsive front-ends. You’ll partner closely with the entire team to ingest and process massive weather and climate datasets, craft intuitive React interfaces, and fine-tune performance across AWS and GCP at scale. We’re seeking driven, collaborative team players who are passionate about turning complex data into actionable insights that help tackle the global climate crisis and make a positive impact on the planet.