Build complete ML pipelines from data processing to model deployment and monitoring in production environments
Design and implement machine learning models for growth applications, from classical algorithms to deep learning approaches
Work closely with product, engineering, and senior researchers to translate requirements into effective ML solutions
Guide junior data scientists and contribute to team knowledge sharing
Stay current with ML research and explore new methodologies relevant to consumer growth challenges

PhD/MS in Machine Learning, Data Science, or closely related field
3+ years (PhD) or 5+ years (MS) of hands-on machine learning experience
Proficient in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, XGBoost)
Experience with SQL and large-scale data processing
Proven track record deploying ML models to production
Strong desire to learn new techniques and adapt to evolving business needs
Ability to clearly articulate ML concepts to diverse stakeholders.

Senior Machine Learning Engineer

Key skills