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.

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