Senior NLP Engineer

Job Title: NLP EngineerLocation: New York, NYAbout Us:We are a leading quantitative trading firm that combines cutting-edge technology with deep financial expertise to make data-driven investment decisions. Our firm is known for its innovative approach to systematic trading, using advanced machine learning, data science, and quantitative research to achieve consistent performance in highly competitive financial markets. We take pride in being at the forefront of research and technology, and our team is composed of passionate professionals dedicated to making a measurable impact in the world of finance.As part of our forward-thinking, collaborative culture, you will work with some of the brightest minds in the industry. We foster an environment where every team member has the opportunity to contribute, grow, and develop their skills in meaningful ways. Our teams collective knowledge, passion for innovation, and commitment to excellence drive everything we do.We are looking to add a highly skilled NLP Engineer to our team, someone who is ready to dive into a fast-paced and intellectually stimulating environment. If youre a candidate who thrives on working with large datasets and state-of-the-art machine learning models, and youre eager to make an impact in a data-driven organization, we want to hear from you.Position Overview:We are looking for an exceptionally qualified NLP Engineer to join our team. This is a highly specialized role focused on utilizing deep learning to process and analyze large-scale, unstructured datasets. If you meet the strict qualifications below and are passionate about making a meaningful impact on the future of quantitative finance, we want to hear from you.Key Responsibilities:Build Deep Learning Models: Develop and implement advanced deep learning models to process unstructured data at scale, leveraging state-of-the-art techniques in NLP and machine learning.Vendor Interaction: Work closely with vendors to analyze dataset characteristics and ensure high-quality integration.Data Analysis: Perform in-depth statistical analyses to extract actionable insights, presenting findings to Portfolio Managers to support data-driven decision-making.Research & Innovation: Continuously research new technologies and methods for improving data management, retrieval, and processing efficiency.Requirements:Educational Background:PhD or Masters degree in Computer Science, Data Science, Statistics, or another highly quantitative discipline. A Bachelors degree will only be considered with extensive, highly relevant work experience.Professional Experience:A minimum of 3 years of professional experience in NLP (Natural Language Processing), computer vision, speech recognition, or a closely related field.Proven experience in using deep learning frameworks, TensorFlow or PyTorch. You must have hands-on experience with model implementation and training.Technical Expertise:In-depth understanding of the architecture of modern language models (e.g., BERT, GPT, Transformer-based models). You must be able to show practical experience in implementing and optimizing these models.Excellent coding skills in Python and SQL. No exceptions - your ability to work with large datasets and perform exploratory and production-level analysis is crucial.Publications & Contributions:Preference will be given to candidates with publications in top machine learning conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL). Please highlight any relevant publications when applying.Industry Experience:Experience in the financial industry is highly preferred. However, it is not required. You must, however, be open to quickly learning how your skills will apply in a financial context.Communication & Teamwork:Excellent written and verbal communication skills. You must be able to clearly communicate complex technical concepts to both technical and non-technical stakeholders.Strong ability to work within a collaborative team environment. We value team players who thrive in an innovative, high-pressure environment.What We Offer:Exclusive Work: This is an opportunity to work at the intersection of finance and technology, using the latest in machine learning to shape industry-leading trading strategies.Collaborative Team: Work with top-tier professionals in a supportive, high-performance environment. We prioritize excellence and mutual respect.Compensation: Competitive salary with comprehensive benefits. Exceptional candidates will receive an attractive compensation package commensurate with experience.This position requires a very specific set of qualifications. Please only apply if you meet all of the required criteriaNote: Company will sponsor visas (H1-B, TN visa etc.) if needed!

Created: 2025-03-02