> Markdown version of [/jobs/ext/2940253-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2940253-senior-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Machine Learning Engineer

- **Company:** Electric
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $223,000.0 - $253,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Machine Learning Operations
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=218517278b9db14f

## About the Role

* Has built and trained transformer models from scratch, not only fine-tuned them, and can speak concretely to the data, architecture, and training-stability decisions involved.
 * Roughly 3+ years of hands-on transformer-specific experience is ideal, generally within 5-10 years of overall ML/engineering experience.
 * Has shipped or maintained ML systems in a practical capacity.
 * Comfortable driving projects end-to-end, from data collection through evaluation, without a large specialized team around you.
 * Strong software engineering fundamentals: you build and maintain real training and evaluation infrastructure, not just notebooks.
 * Technical or scientific depth, not necessarily in CS or ML specifically.
 * Comfortable being one of a very small number of people responsible for a company's core model.

Strong plus

 * Experience with biological, environmental, or other scientific data.

## Description

You'll join the small team building Bombadil and work directly on training: the data the model learns from, the architecture and training decisions that determine whether a run succeeds, and the evaluation work to measure our progress. This is a small team. You'll drive machine learning projects from idea to production from end-to-end, rather than specializing into one piece of a much larger machine, and you'll help build systems and practices that scale.

This is a senior, individually-contributing role with no direct reports, reporting to our Head of AI & ML.

What You'll Own

 * Transformer training. Model architecture, data curation, training strategies, and the full lifecycle to production.
 * Evaluation of the core model. Building and refining evaluations to measure progress of new model capabilities.
 * Model lifecycle practices. Develop robust, repeatable model lifecycle systems for rapid iteration.