Principal Machine Learning Engineer, YM2026PMLE

Location: FactSet Research Systems Inc. , 45 Glover Avenue, 7th Floor, Norwalk, CT 06850. Remote Position: This position may be performed remotely in the United States. However, remote work is not permitted in the following states: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.

Position Description: Principal Machine Learning Engineer, FactSet Research Systems Inc., Norwalk, CT: Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions. Work on diverse machine learning models with an emphasis on optimizing techniques for text data classification and natural language processing.

Collaborate on projects that leverage AI to transform data insights and enhance domain-specific applications, promoting the integration of various machine learning approaches to achieve superior results. Serve as key technical leader and provide thought leadership on best practices in the field. Engage in cross-functional collaboration with product teams to align AI capabilities with strategic business goals.

Role includes staying current with emerging technologies and trends to ensure the continuous improvement and effectiveness of AI solutions. Remote Position: This position may be performed remotely in the United States. However, remote work is not permitted in the following states: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.

Requirements: Master's degree in Computer Science, Mathematics, Statistics, or related technical field and 6 years of related technical experience. Must have 3 years of experience with the following; Node.js; MongoDB; RabbitMQ; a caching technology such as Redis or Memcached; Git; Restful Web Design; working with times series data; Python; Elasticsearch; libraries scikit-learn; Numpy; Spacy; applying ML techniques (SVM, logistic regression, Decision Trees, Random Forest, XGBoost, deep learning such as RNN/LSTM) on text data for domain specific text classifications; NLP processing in mining data, cleaning, pre-processing and transformation; combining multiple ML approaches like active/supervised/semi-supervised learning to achieve a better result; and developing tagged data sets.

To apply: Apply online at FactSet Careers Search for Jobs for Req Job Number R32928

This position qualifies for the internal FactSet employee referral program.