Machine Learning Engineer, WireScreen
$150-195k
+ Equity
3 days a week in office
Software platform for mapping business relationships
Open for applications
Software platform for mapping business relationships
21-100 employees
Open for applications
$150-195k
+ Equity
3 days a week in office
21-100 employees
Company mission
To equip businesses, regulators, and consumers with unparalleled insights.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
Our take
In today's complex digital business landscape, the need for more informed investment decisions, precise supply chain monitoring, tracking cross-border transactions, and mitigating evolving global risk management has never been more critical. Traditional methods of gathering and analyzing this information tend to be time-consuming and often fall short of providing the depth necessary for confident decision-making.
Enter WireScreen, a company on a mission to redefine the way global businesses confront these challenges. Fueled by venture capital support, WireScreen is dedicated to delivering intelligent solutions that allow businesses to make smarter investment choices and gain enhanced transparency within their supply chain.
With its founders boasting over a decade of corporate analysis experience and a coveted Pulitzer Prize in investigative journalism, the duo is well-equipped for the task. Nevertheless, WireScreen, founded in 2019, faces the competitive legacy players in the market and grapples with limited online visibility, primarily relying on its affiliated digital magazine. The company's journey to establish itself as a leader in risk management is undoubtedly an ongoing endeavor, marked by its dedication and potential for substantial industry impact.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Nov 2022
$14m
SERIES A
May 2022
$14m
SERIES A
Total funding: $28m
Company benefits
- Competitive salary, equity, and role trajectory: Experience rewarding work and rapid growth potential within a swiftly scaling company
- FSA, HSA, & 401(k): Save for retirement and healthcare expenses with 401(k), HSA, and FSA options.
- Paid time off: Take time off to rest and rejuvenate. We offer company-wide paid holidays as well as flexible vacation time.
- Medical, dental, and vision: We offer medical, dental, and vision insurance for employees and dependents.
- Flexible in-person culture: Our hybrid roles allow flexibility to work from home while also enjoying in-person collaboration.
Company HQ
Civic Center, New York, NY
Leadership
David Barboza
(Co-Founder & CEO)A Pulitzer Prize-winning investigative journalist who previously worked at The New York Times, David has more than 15 years of experience covering China and using corporate records.
Lynn Zhang
(Co-Founder & COO)A former financier who worked in private equity, Lynn has spent more than a decade analyzing corporate data. She studied chemistry and finance in China and Japan.
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