Machine Learning Engineer

Stack

Responsibilities

• ▹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

Requirements

• ▹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 have

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

What we offer

• ▹Fully remote work
• ▹Medical, dental and vision insurance
• ▹401(k)
• ▹Responsible vacation time (PTO)

About the company

Allocate is transforming private market investing by enabling RIAs and family offices to discover, model and manage their private market exposure. Its platform combines curated fund and co-investment opportunities with institutional-grade infrastructure.