ML Engineer I: Personalization & Recommendations (Python)

GCS Recruitment; Seattle (WA); Vor Ort; USD 110.000 - 140.000; Vollzeit

Zusammenfassung

GCS Recruitment is seeking a Machine Learning Engineer I in Seattle to develop, deploy, and optimize ML solutions for ad monetization and personalization. You will build scalable ML pipelines, improve recommendation and targeting models, and deliver production-ready AI solutions that boost user engagement and business outcomes.

The role involves collaborating with ML scientists, data engineers, and software engineers to bring research into production, maintain data pipelines, and monitor model

Qualifikationen

• Bachelor's or Master's degree in Computer Science, ML, AI, Statistics, Mathematics, or related field.
• 1–3 years of experience in machine learning, internships, research or professional experience.
• Strong programming skills in Python.
• Solid understanding of ML concepts including supervised learning, feature engineering, model evaluation, classification and regression.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience working with SQL and large datasets.
• Familiarity with Git and software development best practices.

Aufgaben

• Develop, train, and deploy ML models for personalization, recommendation, and customer experience applications.
• Build and maintain scalable data pipelines for feature engineering, model training, validation, and inference.
• Collaborate with ML scientists, data engineers, and software engineers to transition research models into production.
• Enhance recommendation and ranking models using customer behavioral and transactional data.
• Monitor, evaluate, and improve model performance through experimentation and A/B testing.

Kenntnisse

Python

Feature engineering

Model evaluation

Supervised learning

Classification/Regression

Big datasets

Ausbildung

Bachelor's or Master's degree in CS/ML/AI/Statistics/Math

Tools

Scikit-learn

TensorFlow

PyTorch

SQL

Git

Jobbeschreibung

GCS Recruitment is seeking a Machine Learning Engineer I in Seattle to develop, deploy, and optimize ML solutions for ad monetization and personalization. You will build scalable ML pipelines, improve recommendation and targeting models, and deliver production-ready AI solutions that boost user engagement and business outcomes.

The role involves collaborating with ML scientists, data engineers, and software engineers to bring research into production, maintain data pipelines, and monitor model