Applied AI Engineer
Fundamental · Europe
Frontier labonsite
At a glance
Highlights
- Build NEXUS, world's most powerful Large Tabular Model for enterprise decisions.
- Optimize training and inference pipelines for memory, latency and throughput.
- Productionize new ML research capabilities for Fortune 100 customers.
What they offer
- Competitive compensation with salary and equity
- Comprehensive health coverage for you and your dependents
- Paid parental leave for all new parents
- Relocation support
Ideal candidate
Systems-minded ML engineer who loves squeezing performance from production models and cares about numerical correctness. Thrives in low-ego, research-driven teams building category-defining enterprise AI.
Requirements
- Strong software engineering fundamentals with expert-level Python and Rust
- Hands-on experience bridging Python and Rust via PyO3, maturin or extensions
- Experience developing and maintaining ML models in production
- Strong understanding of neural networks
- Track record of optimizing performance-critical code
- Strong profiling and debugging skills across CPU, memory and latency
Lab profile
About Fundamental
AI research lab building NEXUS, a large tabular model for enterprise decision-making and prediction.
What they build
- NEXUS Large Tabular Model (LTM)
Known for
- Enterprise decision-making AI
- Large Tabular Models for structured records
- Trusted by Fortune 100 companies
Key facts
- $275m in funding from leading investors
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