NLP Engineer

Point72; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Dormont Manufacturing Co is seeking a skilled NLP Engineer to join the Cubist Data team in New York. The role involves building advanced deep learning models, analyzing unstructured datasets, and engaging with vendors to enhance financial data management.

Ideal candidates will possess a PhD or Master’s degree in a quantitative field, at least 3 years of relevant experience, and deep learning framework expertise. Exceptional Python coding skills and the ability to work with large datasets are essential. Experience in the financial industry is a plus.

Qualifications

• 3+ years of experience in NLP or related field.
• Understanding of modern language model architectures.
• Experience with coding in Python and SQL.

Responsibilities

• Build deep learning models for unstructured datasets.
• Engage with vendors for dataset information.
• Analyze datasets for statistics and applications.
• Conduct research on datasets for presentations.
• Explore new technologies for data management.

Skills

NLP

Deep learning frameworks (TensorFlow, PyTorch)

Python

SQL

Large Data Sets

Communication Skills

Team Player

Education

PhD or Master’s in Computer Science/Data Science/Statistics

Bachelor’s with extensive experience

Job description

DESCRIPTION

The Cubist Data team is looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the financial industry and make a significant impact.

RESPONSIBILITIES

• Build start-of-the-art deep learning models to process large scale unstructured datasets.
• Engage with vendors to understand characteristics of datasets.
• Analyze datasets to generate descriptive statistics and propose potential applications of data.
• Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.
• Research new technologies for efficient data management and data retrieval.

REQUIREMENTS

• PhD or Master’s degree in computer science, data science, statistics or other quantitative discipline. Bachelor’s degree with extensive relevant work experience will also be considered.
• At least 3 years of experience in NLP, computer vision, speech, or a related field.
• Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• In-depth understanding of the architectures of modern language models, with practical experience in model implementation and training.
• Excellent coding skills in Python.
• Programming skills in SQL.
• Experience working with large data sets.
• Strong oral and written communication skills.
• Strong team player.
• Financial industry experience preferred but not required.
• Candidates with top machine learning conference papers (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL) are preferred.
• Commitment to the highest ethical standards.