NLP ML Engineer - Knowledge Graph Intelligence

Tradermath; New York (NY); Híbrido; USD 175.000 - 250.000; Jornada completa

Descripción de la vacante

Point72’s Surveillance team seeks a Machine Learning Engineer - Applied Scientist to build production-ready NLP and ML solutions that aid front office professionals. You’ll lead end-to-end research, from data collection to performance evaluation, focusing on NLP, unstructured data, and GenAI applications.

You will collaborate with data engineers, software developers, and product teams to deliver scalable models, while staying current with advances in NLP and ML to drive impact across the

Formación

• PhD, master's degree, or 4+ years of CS, CE, ML or related field experience.
• 6+ years of experience building ML models and developing algorithms.
• Strong proficiency in Python, and hands‑on experience with NumPy, Hugging Face, PyTorch, and spaCy for NLP applications.
• Prior experience in the domains of LLMs, foundation models, or large-scale deep learning systems, with a complete understanding of modern training, fine-tuning, quantization, and model evaluation.
• Expertise in working with sparse data and applying techniques such as data augmentation, weak supervision, and semi-supervised learning.
• Solid grasp of NLP concepts, including tokenization, embeddings, attention mechanisms, and transformer-based architectures.
• Experience with data evaluation techniques, model explainability, and error analysis.
• Experience working in a Linux environment.
• Commitment to the highest ethical standards.

Responsabilidades

• Contribute to projects across various machine learning (ML) disciplines, including NLP, unstructured data analysis, predictive modeling, and classic machine learning.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to modeling, data preparation, optimization, and performance enhancements.
• Work with sparse data and apply techniques to improve model accuracy and generalization.
• Conduct data evaluation, including data preprocessing, feature engineering, and model performance assessment.
• Collaborate cross-functionally with data engineers, software developers, and product teams to integrate models into production systems.
• Stay up to date with the latest advancements in natural language processing and machine learning, applying new techniques as needed.

Conocimientos

Python & ML algorithms

NLP concepts

LLMs / foundation models

Sparse data techniques

Model evaluation & explainability

Linux environment

Ethical standards

Educación

PhD or Master's or 4+ years CS/CE/ML

Herramientas

NumPy

Hugging Face

PyTorch

spaCy

Descripción del empleo

Point72’s Surveillance team seeks a Machine Learning Engineer - Applied Scientist to build production-ready NLP and ML solutions that aid front office professionals. You’ll lead end-to-end research, from data collection to performance evaluation, focusing on NLP, unstructured data, and GenAI applications.

You will collaborate with data engineers, software developers, and product teams to deliver scalable models, while staying current with advances in NLP and ML to drive impact across the