🛠 Tech Stack

💼 About This Role

You'll build and scale production ML systems that power core product experiences and decision-making at Phia, an AI commerce startup. You'll own the full ML lifecycle from data to deployment and run experiments at high velocity. This role offers the chance to define ML practices as a lean, high-growth team.

🎯 What You'll Do

• Design and deploy production ML models for ranking, personalization, and optimization.
• Own end-to-end ML lifecycle: data analysis, feature engineering, training, deployment, monitoring.
• Build experimentation frameworks and causal measurement strategies.
• Develop and maintain forecasting, ranking, or optimization systems at scale.

📋 Requirements

• 5+ years of industry experience building and deploying ML systems in production.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, XGBoost, scikit-learn).
• Experience owning the full ML lifecycle from data exploration to production.
• Solid understanding of experiment design and causal inference (A/B testing, offline evaluation).

✨ Nice to Have

• Experience with large-scale, real-world datasets and noisy data.
• Ability to collaborate with cross-functional partners.
• Bachelor's degree in Computer Science or equivalent.

🎁 Benefits & Perks

• 💰 Competitive salary $205K-$245K with equity.
• 🏢 Onsite role in New York City.
• 🚀 High-velocity startup with ownership and impact.
• 📈 Opportunity to shape ML practices as company scales.