Machine Learning Engineer

About Allocate

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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.

About the Role

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Allocate is looking to add an AI / Extraction 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.

Essential Responsibilities and Duties

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• 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.

Must Have Experience

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• 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.

Nice to Haves

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• Applied NLP, computer vision, or multimodal models.
• MLOps and model-monitoring tooling.
• Background in fintech or financial data.

Education

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* B...