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Salary: USD 223,000 - 253,000 / annual
The Electric Plant Co. is building plant intelligence technology using IoT hardware and foundation models to decode electrical signals in plants and trees, providing real-time insights about plant health, growth, and stress. The company combines biology, hardware, AI, and IoT in a small, fast-moving team.
You will join the core team building Bombadil, the company's foundation model, working directly on model training, data curation, architecture decisions, and evaluation. This is a senior individual contributor role (no direct reports) reporting to the Head of AI & ML. You'll drive machine learning projects end-to-end from conception to production, rather than specializing in a single component, and help build systems and practices that scale.
Key responsibilities include:
- Transformer training: model architecture design, data curation, training strategies, and full lifecycle management to production
- Core model evaluation: building and refining evaluation frameworks to measure progress on new model capabilities
- Model lifecycle practices: developing robust, repeatable systems for rapid iteration and model deployment
You'll work in a small team where you cover more of the ML pipeline yourself, from data collection through evaluation, without large specialized teams around you. The role emphasizes shipping production models rather than pure research.
REQUIREMENTS:
- Built and trained transformer models from scratch (not only fine-tuned); can speak concretely to data, architecture, and training-stability decisions
- Roughly 3+ years of hands-on transformer-specific experience, generally within 5-10 years of overall ML/engineering experience
- Shipped or maintained ML systems in a practical capacity
- Comfortable driving projects end-to-end without a large specialized team
- Strong software engineering fundamentals: build and maintain real training and evaluation infrastructure, not just notebooks
- Technical or scientific depth (not necessarily in CS or ML)
- Comfortable being one of a very small number of people responsible for the company's core model
STRONG PLUS:
- Experience with biological, environmental, or other scientific data
