Point72 / Cubist
Research Engineer, Knowledge Graph Intelligence
$175K–$250K
New York, NY +1 · Full-time · Posted Jun 10, 2026
- Location
- New York, NY
North America - Experience
- 6+ years building ML models and developing algorithms; alternatively, PhD, master's degree, or 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, master's degree, or 4+ years of CS, CE, ML or related field experience.
About the job
Develops and evaluates NLP and machine-learning models, including GenAI solutions, for production applications supporting investment professionals.
What you'll do
- Research, implement, test, and evaluate ML models and algorithms, including NLP, predictive modeling, and unstructured-data analysis.
- Build GenAI solutions and improve model accuracy and generalization, including with sparse data.
- Collaborate with engineering and product teams to integrate models into production systems.
What they ask for
- 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.
- Experience with LLMs, foundation models, or large-scale deep learning systems, including training, fine-tuning, quantization, and evaluation.
Pay
$175,000-$250,000 USD annual base salary
Tools
Python, NumPy, Hugging Face, PyTorch, spaCy, Linux
AI focus
Applies NLP, LLMs, foundation models, and GenAI to extract insights from unstructured text and support production ML applications.
Model-written summary · the original posting is authoritative