---
title: 'Machine Learning Engineer at Allocate'
canonical: 'https://feeny.ai/job/machine-learning-engineer-allocate-remote-qbx65tyktxmx'
type: 'job'
last_seen: '2026-09-07'
---

# Machine Learning Engineer at Allocate

- **Company:** Allocate
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/allocate/5f38e98e-f3fb-41ff-90c7-eff621c8d7fc

## Job description

## ABOUT ALLOCATE

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

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

- 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

- 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

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

## EDUCATION

- Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

## ESSENTIAL VALUES & CULTURE

- Providing our clients with a world-class experience is our number one priority. We obsessively search for ways to improve the experience for our clients and partners—extraordinary response times, proactivity, and a top-tier experience in everything from product strategy to offline communications.
- Challenge convention: Instead of detailing all the reasons an idea may not work, we question things to determine how a viable idea may be put into motion.
- Commitment to continuous improvement: We find ways to personally scale each day by pushing ourselves up the learning curve.
- Meritocracy, not politics: We place the utmost value on results and reward through merit, not political agendas.
- Civil Discourse is embraced: Open, intellectually curious conversations are required to consistently arrive at the best decisions. Respect is paramount, but the mission is to get the right answer collectively, not to be right.
- Embrace technological change: We adopt tools and techniques that make us faster, smarter, and better—especially around AI and automation—and drop outdated methods without hesitation.

## ADDITIONAL DETAILS

- Location: Fully Remote (all I-9 eligible candidates will be considered).
- Employment: Full-time. Seniority: Senior professional.
- Salary: The expected base salary range for this role is $165,000 to $185,000. Actual compensation will be determined based on the candidate's primary work location and other job-related factors including skills, experience, qualifications, interview performance, internal equity, and market data. Candidates located in higher cost-of-living markets, including the San Francisco Bay Area, may be considered within the higher end of the range. This range reflects base salary only and does not include bonus, equity, or benefits; total compensation may also include a discretionary performance-based bonus.
- Benefits: Medical, dental, and vision; 401(k); and responsible vacation time (PTO).
- Travel required for team and department offsites. An in-person interview may be required during the process. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is a given for this role.

## About Allocate

## Company Overview
- **One-liner**: Allocate builds the operating system and infrastructure layer that connects wealth advisors and asset managers for private markets investing.
- **Entity Type**: Private (Funding Stage: Series C – $60.8M total raised)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2021
- **Founders**: Samir Kaji (Co-Founder, CEO & President) and Hana Yang (Co-Founder, CXO)

## Core Business
- **Primary industry**: Financial Services / Private Markets Infrastructure
- **Target customers**: Wealth advisory firms (RIAs from $500M to $250B+ in AUM) and institutional asset managers operating in the wealth channel.
- **Mission or purpose**: To build the private markets operating system for the wealth channel – bringing an end-to-end institutional-grade solution around structure, controls, and reporting.

## Products & Services
- **Allocate Platform (Operating System for Private Markets)**: A unified technology platform that handles subscriptions, capital flows, portfolio operations, and AI-powered workflows. Enables wealth advisors to curate opportunities, create white-labeled feeder vehicles, and track performance across their entire private markets program.
- **Integration Layer**: Works alongside existing reporting platforms (e.g., major wealth advisor reporting systems) rather than replacing them, minimizing disruption and operational lift.
- **AI-Powered Workflows**: Extracts data from fund documents, structures comparisons, and updates portfolios from manager reports automatically.
- **Curated Investment Opportunities**: Allocate offers a vetted selection of private markets offerings that meet platform eligibility criteria, augmenting advisors’ own diligence efforts.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: $4.5B+ assets on platform; 1,500+ private asset manager relationships; 370+ wealth advisory firms trust Allocate (as of mid-2026). Estimated annual revenue of $1.0M (per LinkedIn data – likely a proxy estimate; not officially confirmed).
- **Total Funding**: $60.8M from institutional investors including top-tier VCs (specific lead investors not named in provided materials, but described as “long-term institutional investors”).
- **Notable Investors/Partners**: Not individually listed in source, but backed by institutional investors; leadership includes alumni from First Republic, J.P. Morgan, SS&C, Carta, Morgan Stanley, Fidelity, AngelList.
- **Growth Signals**: 73 employees as of 2026 (+16.7% YoY). Serving 370+ wealth advisory firms (up from 325+ at end of 2025, per February 2026 news). Co-founder Hana Yang named to Inc.’s 2026 Female Founders 500 List. Presence in Canada and Brazil.

## Competitive Advantages
- **Dual-sided platform**: Serves both wealth advisors and asset managers – complete capital flow coordination rather than a one-sided tool.
- **Infrastructure layer**: Focuses on automating manual processes (subscriptions, vehicle administration, portfolio tracking) that create bottlenecks in private markets.
- **Integration-first approach**: Does not require replacement of existing reporting systems, reducing friction for adoption.
- **Scale**: Built for firms from $500M to $250B+ in AUM, with institutional-grade compliance (SOC 2 Type II), role-based permissions, and audit trails.
- **Founder expertise**: Samir Kaji (26 years in private markets, hosted “Venture Unlocked” podcast) and Hana Yang (15+ years, former Managing Director at First Republic, Kauffman Fellows) bring deep domain knowledge.

## Strategic Focus
- Continue scaling the platform to capture the $3T projected wealth channel capital into private markets by 2029.
- Deepen AI capabilities to automate repetitive fund document processing and portfolio updates.
- Expand integration partnerships with major wealth advisor reporting platforms.
- Grow relationship management team (open roles in RIA relationship management across East/West Coast) to onboard more advisory firms and asset managers.

## Why Work Here
- **Culture**: Emphasizes “relentless problem-solving” and “extreme client service” – described as builders who care deeply about client experience, operational rigor, and systems thinking.
- **Work Environment**: Flexible remote/hybrid policy (some roles fully remote, e.g., Information Security Lead; others based in Palo Alto office). Offers responsible time off (RTO) and comprehensive health, dental, and vision plans.
- **Growth & Impact**: Join a fast-growing fintech with institutional backing and a clear mission to fix infrastructure in a huge market. 73 people scaling rapidly – opportunity to shape engineering, product, and operations.
- **Diversity & Inclusion**: Co-founder Hana Yang is a prominent female leader in venture; the company likely values diverse perspectives (Women In Venture initiative founder).
- **Benefits**: Parental & family leave, flexible work environment, and a focus on professional development.

## Sources
1. [allocate.co/about](https://allocate.co/about)
2. [allocate.co/careers](https://www.allocate.co/careers)
3. [allocate.co](https://allocate.co/?tpcc=NL_Marketing)
4. [linkedin.com/company/allocateco](https://www.linkedin.com/company/allocateco)
5. [jobs.ashbyhq.com/allocate](https://jobs.ashbyhq.com/allocate)

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