Senior Machine Learning Engineer

Responsibilities

• 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
• Partner closely with Product, Engineering, Data, and Operations to translate product requirements into scalable ML solutions
• Develop experimentation frameworks and causal measurement strategies to evaluate model impact
• Build and maintain forecasting, ranking, personalization, or optimization systems operating at scale
• Drive improvements to model performance, reliability, and scalability in production environments
• Contribute to the ML platform and infrastructure, improving tooling for training and monitoring
• Influence technical direction through design reviews, code reviews, and mentorship

Requirements

• 5+ years of industry experience building and deploying machine learning systems in production
• Strong proficiency in Python
• Experience with common ML frameworks such as PyTorch, TensorFlow, XGBoost, LightGBM, or scikit-learn
• Experience owning the full ML lifecycle, from data exploration to production deployment
• Experience working with large-scale, real-world datasets
• Solid understanding of experiment design and causal inference, including A/B testing and offline evaluation
• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field

About the Company

Phia is building the AI alignment layer for commerce. Having raised $43M from Notable Capital, Khosla Ventures, and Kleiner Perkins, Phia's consumer shopping agent has already surpassed one million users and partnered with over 6,200 retail brands. We are a lean, high-ownership team reinventing the shopping experience to be intelligent, trusted, and intent-driven.