Staff Machine Learning Engineer - Applied ML & Research

We're looking for a Staff Machine Learning Engineer to join our Applied ML & Research team and drive the development of cutting-edge machine learning solutions. You'll lead cross-functional technical initiatives, design and develop scalable machine learning models, and translate complex technical concepts into clear insights for stakeholders.

Requirements

• Master’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field
• 7+ years of industry experience building and deploying ML models at scale
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies

Benefits

• Competitive salary
• Benefits package
• Opportunities for professional growth and development