Senior Machine Learning Engineer

📋 Description

• Researching, building, and designing ML models for marketing personalization.
• Run experiments, evaluate results, and improve models and algorithms.
• End-to-end productionization of models with a product/customer focus.
• Collaborate with engineers, data scientists, and product members to improve the product.
• Impact millions of users by improving personalization and retention.

🎯 Requirements

• Proficiency in Python and production deployment.
• Experience with ML libraries: PyTorch, TensorFlow, Scikit-learn, Prophet, DeepAR.
• Degree in Computer Science or related engineering field.
• Experience in cloud environments (AWS, Google Cloud, or Azure).
• Bonus: dbt, Snowflake, Airflow, Metaflow; ML system design; statistical testing.

🎁 Benefits

• Impact at a global social-impact company (B Corp).
• Autonomous, collaborative environment with ownership over work.
• Global team with 1,300+ colleagues across 20 countries.