Jobs
No opportunities available
There are currently no job opportunities available. Please check back later.
Head of Engineering
Head of Engineering
Lightning Rod LabsABOUT US
Lightning Rod Labs trains AI to predict the future.
We turn messy historical data into grounded training datasets and models that understand cause and effect—making it easy to train custom models directly from messy data, no labelling required.
We’ve demonstrated that small models (14B & 32B) trained with our method can outperform frontier models on prediction-market benchmarks using generated data—with no human bottlenecks.
Messy data in; accurate predictions out.
LINKS
https://lightningrod.ai/
https://www.lightningrod.ai/sdk
https://arxiv.org/abs/2505.17989
https://blog.lightningrod.ai/p/foresight-32b-beats-frontier-llms-on-live-polymarket-predictions
WHAT YOU’LL DO
Training data is the biggest bottleneck in AI today. You'll build the platform that eliminates it — giving engineers everywhere the easiest way to generate high-quality, grounded training data from their own messy sources and teach AI real-world reasoning, at scale.
- The world’s first platform for prediction agents: Create and evolve infrastructure for training and serving prediction agents.
- Scale our data generation engine: Build and manage data pipelines that transform massive volumes of unstructured public and private data into training & evaluation signals.
- Automate training loops: Orchestrate distributed training and inference on multi-node GPU clusters; optimize our framework and demonstrate state-of-the-art results.
- Evolve the Platform & SDK: Extend and improve the developer experience for enterprises generating custom training data.
- Own delivery end-to-end: Ship from data collection to deployment.
- Build the team: Hire and lead engineers as we grow.
WHAT WE EXPECT FROM YOU
- Excellent Python chops; comfortable with TypeScript & Next.js.
- Proven track record shipping systems that matter.
- Leadership: you’ll set the technical direction, drive the roadmap, and help build the engineering team.
- High ownership: you’re comfortable working autonomously and taking projects from idea to production.
- Proof of work: GitHub, portfolio, demos, or shipped products.
- Built for scale: you’ve designed systems that run millions of jobs and stay reliable. Bonus if you’ve worked with GPU clusters or distributed training/inference.
- Data + pipelines at scale: strong experience with large datasets (for example PyArrow, BigQuery), orchestration (for example Prefect), and production data quality.
- Experience building APIs and SDKs that developers actually want to use.
- Cloud fluency: We work across Modal, GCP, Azure, and AWS.
WHAT YOU’LL GET OUT OF IT
- Cutting edge, for real: Help advance a new way to train LLMs from unstructured data, and build a framework that can eventually teach AI things humans don’t know.
- Meaningful impact: Work on critical use cases like defense, healthcare, and major institutions.
- End-to-end ownership: Own the technical direction and the systems—from architecture to reliability to what actually ships.
- Speed & autonomy: High-trust, fast-paced environment where you set direction, ship often, and see rapid real-world impact.
- Tight-knit, founder-level collaboration: Work closely with the founders and partner across product, engineering, and customer teams to carry work from research to deployed outcomes.
HOW TO APPLY
Email ops@lightningrod.ai
Include links to Github and Linkedin, and tell us why you’re excited to work at Lightning Rod Labs.