Backed by Pear VC.
About the role
Allocate is looking to add an AI Data Quality & Evals Engineer to the team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future. Build, train, and improve machine-learning models for production use.
What they're looking for
- 4+ years of applied ML / LLM engineering in production, with strong Python
- Experience taking models from prototype to reliable production systems
- Hands-on model fine-tuning and rigorous evaluation discipline
- Proficiency with Git and version control systems
- Hands-on experience with AI-assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge
More about this role
Allocate is transforming private market investing by enabling RIAs and family offices to seamlessly discover, model, and manage their private market exposure. Our platform combines curated fund and co-investment opportunities with institutional-grade infrastructure. Through a single, data-rich digital experience, clients access top-tier opportunities across venture capital, private equity, private credit, and other private asset classes—backed by powerful tracking, analytics, and administration tools.
Allocate is looking to add an AI Data Quality & Evals Engineer to the team! There's a lot for us to build, and we need a strong engineer with a broad skillset who can jump right in to help us lay the technical foundation for the company's future.
Build, train, and improve machine-learning models for production use.
Develop evaluation and feedback loops that measurably improve model performance over time.
Stand up the tooling to measure, monitor, and track model quality.
Evaluate new models and techniques, and bring the best into production.
Collaborate cross-functionally to ship ML-powered capabilities.
4+ years of applied ML / LLM engineering in production, with strong...
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