New York, New York, United States · Hybrid
$150k–$195k/yr
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 …
Skills: Entity Resolution, Knowledge Graphs, Clustering, Python, SQL
New York, New York, United States · On-site
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About Posh We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges around the world. Human connection…
Skills: Engineering Leadership, Platform Architecture, Infrastructure Scaling, React, React Native
New York, New York, United States · Hybrid
$130k–$170k/yr
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New York, New York, United States · On-site
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Help us protect not only the Amazon Web Services (AWS) cloud computing environment but all of our customers as well! Since 2006, our great team at AWS has been enabling our customers to bring great ideas to life in ways …
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New York, New York, United States · On-site
The next wave of stablecoin adoption is payments. We’re building a stablecoin clearinghouse to make stablecoins move like money, not a trading asset. We’re looking for a Platform Engineer who obsesses over correctness an…
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New York, New York, United States · On-site
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New York, New York, United States · On-site
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New York, New York, United States · On-site
Merciv is building the intelligence layer for enterprise commerce. We connect an organization's entire data landscape — internal systems, social signals, industry reports, consumer behavior — and surface the insights and…
Skills: Machine Learning, Artificial Intelligence, Python, PyTorch, TensorFlow
New York, New York, United States · On-site
$165k–$220k/yr
About Outro Outro Health is the first company dedicated to helping people feel better by using less medication, rather than more. Our flagship program, Taper Management, is a virtual care program that helps people safely…
Skills: TypeScript, React, Next.js, Node.js, React Native
New York, New York, United States · On-site
$158k–$214k/yr
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Skills: Distributed systems, Microservices, Software service design, C#, C++
Mount Sinai Health SystemsNew York, New York, United States · On-site
$45/hr–$47/hr
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Daly City, California, United States · On-site
$141k–$311k/yr
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Skills: Machine Learning, Graph Neural Networks, Sequence Models, Language Models, Reinforcement Learning
Daly City, California, United States · On-site
$148k–$311k/yr
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Skills: Machine Learning, Graph Neural Networks, Reinforcement Learning, Python, PyTorch
New York, New York, United States · On-site
$175k–$350k/yr
As a Member of Technical Staff at Quadrillion Labs, you'll build the systems that power Qualia, our research agent. This is a mix of exciting systems work — orchestrating agent loops, building the sandboxed environments …
Skills: Full-stack Engineering, Backend Engineering, Python, Agent Orchestration, Infrastructure Scaling
New York, New York, United States · Hybrid
$185k–$225k/yr
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Skills: AWS, TypeScript, Node.js, React, Serverless
New York, New York, United States · Remote OK
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New York, New York, United States · On-site
$158k–$214k/yr
Want to impact both Amazon selling partner and buying customer experience by building services that manage billions of related products in earth’s biggest catalog? Relationships Platform and Services are core to Amazon w…
Skills: Distributed Systems, Microservices, High-scale Service Design, Agile, Continuous Delivery
New York, New York, United States · Hybrid
$189k–$330k/yr
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ compa…
Skills: iOS Development, Swift, Technical Leadership, SwiftUI, Swift Concurrency
New York, New York, United States · Remote OK
$82k–$127k/yr
🚀 Your role Luminovo builds software that powers the electronics supply chain, and we're scaling our North American team. We're looking for a Solutions Engineer to be the technical backbone of our go-to-market momentum.…
Skills: Technical Demos, Customer Onboarding, ROI Analysis, Electronics Manufacturing Knowledge, Technical Communication
New York, New York, United States · On-site
$175k–$220k/yr
About Playground Playground is working to make excellent child care accessible to all. Playground has built best in class software to manage all aspects of running a child care business. Playground has raised millions of…
Skills: Product Management, B2B SaaS, Fintech, Software Engineering, Product Discovery
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Develop and fine-tune ML models for entity resolution and knowledge graph expansion to uncover connections within the Chinese economy. Build agentic pipelines and internal tools to scale data ingestion and improve research efficiency.
Requires 4+ years of experience in clustering-type ML problems and end-to-end production experience with various model families. Proficiency in Python and SQL is essential, with a preference for experience in early-stage B2B SaaS startups.
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.
Check out this blog from our CEO on how WireScreen traced DeepSeek’s origins back to 2023—well before it went mainstream in 2025.
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.
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
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
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
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.
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
The Leading China Business Intelligence Platform
WireScreen provides the world's most powerful open-source intelligence (OSINT) on corporate ownership, investment, and relationships in China. We serve public sector missions in national security, enforcement, and policy across a variety of agencies along with law firms, think tanks, and private-sector compliance teams. With detailed, high-quality profiles on millions of corporations, investors, executives, and business relationships, WireScreen’s data and technology is an essential tool for thousands of investigators, regulators, and policy professionals tasked with understanding China’s complex, often-opaque economy. WireScreen’s founders have deep roots in Pulitzer Prize-winning investigative journalism, due diligence, law, and technology. Today, the company has offices in New York and Washington, DC, and is backed by investors including Sequoia Capital and Harpoon Ventures.
Offices: New York City, NY, US · District of Columbia, DC, US
Based on 4786 listings with disclosed salaries, most engineering jobs in New York, NY pay between $85k–$225k per year. Individual offers vary with seniority, company size, and specialization.
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