Senior Machine Learning Engineer

Role Overview

As a Senior Machine Learning Engineer at Phia, you’ll build and scale production ML systems that power core product experiences and decision-making. You’ll work across the full ML stack, from data and modeling to deployment and iteration, on problems like ranking, personalization, and optimization.

What You Will Do

Design, develop, and deploy production machine learning models that power core product experiences and decision-making systems. Own the end-to-end machine learning lifecycle, including data analysis, feature engineering, model training, evaluation, deployment, and monitoring.

Why It Might Be a Fit

If you want to ship at high velocity and solve complex problems in consumer AI and commerce, this is the place to do it.

Requirements

• 5+ years of industry experience building and deploying machine learning systems in production
• Strong proficiency in Python and experience with common ML frameworks and libraries (e.g., PyTorch, TensorFlow, XGBoost, LightGBM, scikit-learn)
• Experience owning the full ML lifecycle, from data exploration to production deployment and iteration
• Experience working with large-scale, real-world datasets and noisy or incomplete data
• Solid understanding of experiment design and causal inference, including A/B testing and offline evaluation
• Ability to collaborate effectively with cross-functional partners and communicate technical concepts clearly
• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience