Allocate
51 - 200 employees
Founded 2021
☁️ SaaS
💳 Fintech
🤝 B2B
🔥 Funding within the last year
💰 $30.5M Series B - Allocate on 2025-09
SaaS • Fintech • B2B
Allocate is an enterprise software platform that provides intelligent infrastructure for private markets investing, primarily serving wealth advisory firms (RIAs) and asset managers. The platform enables curated private markets access, white‑labeled fund and SPV vehicle creation, aggregated SPVs to accept sub‑minimum commitments, and AI‑powered portfolio data aggregation, document extraction, and workflow tools for lifecycle reporting and operations. Allocate emphasizes integration with existing reporting systems, SOC 2 Type II security controls, and supports firms across a wide AUM range; as of 07/22/2026 it reports $5B+ assets on platform, 375+ wealth advisory firm clients, and 1,500+ private asset manager relationships.
Machine Learning Engineer
🔥 38 minutes ago
🇺🇸 United States – Remote
💵 $165k - $185k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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Allocate
51 - 200 employees
Founded 2021
☁️ SaaS
💳 Fintech
🤝 B2B
🔥 Funding within the last year
💰 $30.5M Series B - Allocate on 2025-09
SaaS • Fintech • B2B
Allocate is an enterprise software platform that provides intelligent infrastructure for private markets investing, primarily serving wealth advisory firms (RIAs) and asset managers. The platform enables curated private markets access, white‑labeled fund and SPV vehicle creation, aggregated SPVs to accept sub‑minimum commitments, and AI‑powered portfolio data aggregation, document extraction, and workflow tools for lifecycle reporting and operations. Allocate emphasizes integration with existing reporting systems, SOC 2 Type II security controls, and supports firms across a wide AUM range; as of 07/22/2026 it reports $5B+ assets on platform, 375+ wealth advisory firm clients, and 1,500+ private asset manager relationships.
📋 Description
• 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.
🏖️ Benefits
• Medical, dental, and vision • 401(k) • Responsible vacation time (PTO)
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