ML Engineer: Knowledge Graph & Entity Resolution

WireScreen; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

100% company-paid Medical, Dental, and Vision coverage

Flexible hybrid office schedule

Generous paid time off

Job summary

WireScreen, a fast-growing startup in New York, seeks a Machine Learning Engineer focused on enhancing data systems related to the Chinese economy. The role emphasizes fine-tuning algorithms, expanding knowledge graphs, and deploying machine learning models across vast datasets.

The ideal candidate will have extensive experience in clustering ML problems and a strong foundation in Python and SQL. WireScreen offers a competitive compensation package, including 100% company-paid health coverage and a hybrid office schedule.

Qualifications

• 4+ years of experience with clustering-type ML problems.
• Experience with end-to-end machine learning model in production.
• Proficient in Python programming and SQL.

Responsibilities

• Fine-tune entity resolution algorithms to uncover connections.
• Expand the knowledge graph with alternative data.
• Train, test, and deploy ML models on millions of records.

Skills

Machine Learning

Python programming

SQL

Entity resolution

Knowledge graphs

Tools

PySpark

Docker

Kubernetes

Job description

WireScreen, a fast-growing startup in New York, seeks a Machine Learning Engineer focused on enhancing data systems related to the Chinese economy. The role emphasizes fine-tuning algorithms, expanding knowledge graphs, and deploying machine learning models across vast datasets.

The ideal candidate will have extensive experience in clustering ML problems and a strong foundation in Python and SQL. WireScreen offers a competitive compensation package, including 100% company-paid health coverage and a hybrid office schedule.