Principal Machine Learning Engineer

This is a fully remote position, open to applicants in Arizona, +3 more states.

📋 Description

• Lead pioneering projects aimed at creating and executing cutting-edge AI-driven solutions.

• Design and implement a variety of machine learning models, focusing on text data classification and natural language processing.

• Utilize AI to convert data insights into actionable enhancements for domain-specific applications.

• Combine various machine learning methodologies to attain exceptional outcomes.

• Act as a principal technical leader and offer thought leadership regarding best practices.

• Collaborate with product teams across functions to ensure that AI capabilities align with strategic business objectives.

• Keep abreast of emerging technologies and trends to continually refine AI solutions.

⛳️ Requirements

• Master’s degree in Computer Science, Mathematics, Statistics, or a related technical discipline.

• 6 years of pertinent technical experience.

• 3 years of experience with Node.js, MongoDB, RabbitMQ, Redis or Memcached, Git, RESTful Web Design, time series data, Python, Elasticsearch, scikit-learn, NumPy, and spaCy.

• 3 years of experience implementing ML techniques such as SVM, logistic regression, decision trees, random forests, XGBoost, and deep learning methods like RNN/LSTM for domain-specific text classification.

• 3 years of experience in NLP data mining, including cleaning, preprocessing, and transformation.

• 3 years of experience integrating active, supervised, and semi-supervised learning techniques.

• 3 years of experience in developing tagged datasets.

🏝️ Benefits

• Eligibility for the internal FactSet employee referral program.

• Participation in an external referral pilot program in the United States, which offers a monetary reward to eligible referrers.

• Protections under equal employment opportunity regulations.

• Participation in E-Verify.