Applied ML Engineer – Knowledge Graph & NLP

Point72; New York (NY); On-site; USD 175,000 - 250,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental and family leave policies

Tuition assistance

Job summary

Point72 is seeking a Machine Learning Engineer - Applied Scientist to develop algorithmic solutions and models for investment applications. This role focuses on natural language processing (NLP) to extract insights from unstructured data, and candidates must possess extensive experience in model development and Python programming.

The position offers a competitive salary and comprehensive benefits, including fully-paid health care, generous parental leave, and tuition assistance. Join Point72 to leverage your expertise in a collaborative environment focused on innovation.

Qualifications

• PhD, master's degree, or 4+ years of experience in a related field.
• 6+ years of experience building ML models and algorithms.
• Strong proficiency in Python and NLP applications.

Responsibilities

• Develop algorithmic solutions for front office investment professionals.
• Manage research processes including methodology selection and performance evaluation.
• Collaborate with cross-functional teams to integrate models into production.

Skills

NLP solutions

Predictive modeling

Python

NumPy

Hugging Face

PyTorch

spaCy

Education

PhD or master's degree in CS, CE, ML or related field

Tools

Linux

Job description

Point72 is seeking a Machine Learning Engineer - Applied Scientist to develop algorithmic solutions and models for investment applications. This role focuses on natural language processing (NLP) to extract insights from unstructured data, and candidates must possess extensive experience in model development and Python programming.

The position offers a competitive salary and comprehensive benefits, including fully-paid health care, generous parental leave, and tuition assistance. Join Point72 to leverage your expertise in a collaborative environment focused on innovation.