NLP Algorithm Engineer (Chinese speaking)

AIToolboard; New York, Northern (NY, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

AIToolboard in New York, NY is seeking an NLP Algorithm Engineer (Chinese speaking) to advance machine learning methods for financial signals. You will develop NLP datasets and pipelines, formulate research hypotheses, and build and productionize trading signals.

The role requires strong Python and software engineering practices, background in ML/Statistics, and interest in financial markets. Experience with deep learning for NLP (PyTorch, HuggingFace) and collaboration across teams is highly

Qualifications

• Master’s or PhD graduate or candidate in computer science or another quantitative discipline.
• Proficient in Python and general software engineering principles (GitHub, testing, development workflow).
• Strong machine learning/statistics understanding.
• Interest in financial markets.
• Collaborative mindset.

Responsibilities

• Build NLP datasets and pipelines to derive features.
• Formulate research hypotheses to derive alpha.
• Build and test the performance of trading signals based on NLP and financial features.
• Launch identified signals into production.

Skills

Python

ML/Statistics

Software engineering

Git

Collaboration

Education

Master's or PhD in CS/Quant

Tools

PyTorch

HuggingFace

LLMs

Data science stack

Job description

Jobs / NLP Algorithm Engineer (Chinese speaking)

NLP Algorithm Engineer (Chinese speaking)

Full-time

About the Role

Responsibilities

Responsibilities include:

• Building NLP datasets and pipelines to derive features
• Formulating research hypotheses to derive alpha
• Building and testing the performance of trading signals based on NLP and financial features
• Launching identified signals into production

Requirements

• Master’s or PhD graduate or candidate in computer science or another quantitative discipline
• Proficient in Python and general software engineering principles (github, testing, dev workflow)
• Strong Machine Learning/Statistics understanding
• Interest in financial markets
• Collaborative mindset

Preferred Qualifications

• Prior research experience
• Prior experience (fulltime or internship) in software development
• Experience with deep learning, specifically NLP – PyTorch, HuggingFace, LLMs, etc.
• Data science stack familiarity