---
title: 'Machine Learning Engineer at WireScreen'
canonical: 'https://feeny.ai/job/machine-learning-engineer-wirescreen-new-york-0cf1z0s7kjgf'
type: 'job'
last_seen: '2026-09-09'
---

# Machine Learning Engineer at WireScreen

- **Company:** WireScreen
- **Location:** New York, NY
- **Compensation:** $150k–$195k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-26
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/wirescreen/0a29bcab-59eb-4766-941b-643b9fb011e5/application

**Skills:** Python, SQL, Machine Learning, Clustering, Knowledge Graphs, Entity Resolution, Model Deployment, NLP, Deep Learning, KNN, SVM, Ensembles, PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes

> WireScreen is seeking a Machine Learning Engineer to build and deploy models for entity resolution and knowledge graphs. The role involves fine-tuning algorithms, training models on large datasets, and expanding AI toolkits to uncover hidden connections in global supply chains.

## Job description

WireScreen is a fast-growing Series A startup bringing clarity to one of the world’s most complex business landscapes. We’re building the go-to intelligence platform for navigating global supply chains and China-related risk—revealing the networks, relationships, and financial ties behind companies so our customers can see connections, remove obstacles, and make confident decisions.

Backed by Sequoia Capital and Harpoon Ventures, our team includes a two-time Pulitzer Prize–winning journalist and senior engineers from Google, Twitter, and Oracle. We launched just three years ago and already have strong traction with top-tier government customers—and we’re just getting started. If you’re excited to make global systems more transparent and secure, now’s the perfect time to join us.

## ABOUT THE ROLE:

As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world’s economic powerhouses: China. This role is critical to building models that support the two fundamental pieces of our business: entity resolution and our knowledge graph. These systems are the cornerstones that uncover hidden connections within the Chinese economy. You will be contributing to our existing MCP servers and agentic pipelines to classify, cluster and enrich across millions of entities. You will be working with engineering, product and research to expand our AI toolkit, scaling our data ingestion processes, building analytics and insights into our platform at a scale not previously achievable.

Reporting directly to the VP of Engineering, you will work with our data team, enrichment team and product to establish our source of truth and expand our machine learning capabilities.

## WHAT YOU'LL DO:

- Fine tune our existing entity resolution algorithms to uncover hidden connections between people and organizations across China
- Expand our knowledge graph with alternative data to map out the power structure of China
- Train, test and deploy ML models that operate on tens of millions of records daily
- Work with Product to define and implement evaluation harnesses for classical ML and agentic systems
- Build agent workflows into internal tools to improve the scale and speed of our Research team

## WHAT WE’RE LOOKING FOR:

- 4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include; recommendation engines, cohort analysis, outlier/anomaly detection
- End-to-end machine learning model experience in production; that you’ve stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to deployment and beyond. Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.
- Significant experience with python programming and SQL

## NICE TO HAVE:

- Experience working with Frontier/SOTA models and/or fine-tuning your own LLMs for specific tasks
- Working on problems across large, heterogeneous, messy unstructured datasets and/or with semantic search, computer vision (especially OCR), or linear optimization problems
- Experience with any of the following technologies: PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes
- Early-stage startup experience (Series B or earlier)
- B2B SaaS experience

## #LI-LG1

## WHAT YOU'LL LOVE ABOUT WIRESCREEN

At WireScreen, you'll do high-impact work that helps shape the global economy and power competition. We’re a mission-driven team with a growth mindset—curious, collaborative, and unafraid to take on bold challenges. You’ll be empowered to act, heard when you speak, and supported as you grow. With strong market momentum and ambitious goals, this is an exciting time to join us and help build something that truly matters.

## BENEFITS & PERKS

At WireScreen, we care deeply about our team and are committed to supporting your well-being—both in and out of the workplace. Here’s how we take care of our employees:

- Competitive compensation including salary, equity, and rapid growth potential
- 100% company-paid Medical, Dental, and Vision coverage for employees
- FSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement
- Generous paid time off plus company-wide holidays to help you rest and recharge
- Pre-tax commuter benefits to help you save on transit and parking
- Hybrid office schedule designed to give you flexibility while staying connected with your team

## About WireScreen

## Company Overview
- **One-liner**: WireScreen is a risk intelligence platform that maps and decodes China's global business networks using open-source intelligence (OSINT) to reveal hidden ownership, affiliations, and risks.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York City, New York, United States
- **Founded**: 2019
- **Founders**: David Barboza (CEO) and Lynn Zhang (COO)

## Core Business
- **Primary industry**: Risk intelligence, corporate intelligence, national security, compliance, information services
- **Target customers**: B2B, Enterprise, Government – multinational corporations, law enforcement agencies, law firms, think tanks, and compliance teams
- **Mission**: “To equip businesses, regulators, and consumers with unparalleled insights… illuminate the inner workings between businesses and people that drive the global economy.”

## Products & Services
- **WireScreen Platform**: A web-based interactive network mapping tool for visual exploration of corporate relationships. Includes a powerful REST API for integration into existing workflows and curated data feeds (e.g., military end use, forced labor, sector-specific risks). The platform covers four main use cases: Trade & Export Compliance, Investigations & Enforcement, National Security & Defense, and Investment & Due Diligence.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of $14.0M (Series A in November 2022, plus an earlier seed round)
- **Notable Investors**: Sequoia Capital (Shaun Maguire) and Harpoon Ventures (Larsen Jensen)
- **Growth Signals**: Headcount grew 46.4% year-over-year to 29 employees per LinkedIn; Built In reports 40 total employees (15 in product + tech). LinkedIn followers grew 70.4% in the past year. The company describes itself as a “swiftly scaling” startup with strong market momentum.

## Competitive Advantages
- One of the world’s most comprehensive Chinese corporate datasets – over 20 million companies and 37 million executives/individuals
- Roots in Pulitzer Prize-winning investigative journalism (co-founder David Barboza)
- Access to hundreds of difficult-to-access primary sources (corporate filings, trade data, patents, procurement)
- Used by the same agencies that write the rules (BIS, OFAC, UFLPA), giving it a strong trust and credibility moat
- Ability to surface hidden ownership, nominee directors, VIE structures, and PLA affiliations that most platforms miss

## Strategic Focus
- Current priorities include investing in product and customer experience to accelerate growth, expanding the platform’s capabilities for government and enterprise clients, and scaling the engineering and go-to-market teams.

## Why Work Here
- **Culture**: Mission-driven work at the intersection of national security, journalism, and technology. Emphasis on impact, empowerment, and a “fearless growth mindset.”
- **Remote/Hybrid**: Hybrid roles based in New York City (3 days on-site, 2 days remote). Commuter benefits provided. Also an office in Washington, D.C.
- **Perks & Benefits**: Competitive salary and early-stage equity, flexible PTO, medical/dental/vision insurance (with FSA/HSA), 401(k) plan, generous parental leave, free snacks and drinks.
- **Engineering Culture**: Building complex backend infrastructure for data processing and API delivery; led by VP of Engineering with experience at Reonomy and Baton.
- **Growth Potential**: Role trajectory and rapid growth opportunities in a fast-scaling Series A company.

## Sources
1. [wirescreen.ai](https://www.wirescreen.ai/)
2. [wirescreen.ai/about-us](https://www.wirescreen.ai/about-us)
3. [wirescreen.ai/careers](https://www.wirescreen.ai/careers)
4. [builtin.com](https://builtin.com/company/wirescreen)
5. [linkedin.com](https://www.linkedin.com/company/wirescreen-ai)

## Other roles at WireScreen

- [Senior Account Executive, DoW](https://feeny.ai/job/senior-account-executive-dow-wirescreen-washington-a8mxxdg3jmna) — Washington, DC
- [Research Associate](https://feeny.ai/job/research-associate-wirescreen-new-york-5q5n92n70550) — New York, NY
- [Senior Account Executive, Federal Intelligence Community](https://feeny.ai/job/senior-account-executive-federal-intelligence-community-wirescreen-59bnnsb06at0)
- [Account Executive, Federal Intelligence Community](https://feeny.ai/job/account-executive-federal-intelligence-community-wirescreen-remote-9ysen0d36ch4)
- [Senior Research Associate](https://feeny.ai/job/senior-research-associate-wirescreen-new-york-cqjg51fakncf) — New York, NY
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