Machine Learning Engineer, Growth
New
W
WhatnotE-commerce, Livestream Shopping
Remote co-located team, anchored in hubs across the US, UK, Ireland, Poland, Germany, and AustraliaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningPyTorchTensorflow
Requirements
- 5+ years of industry experience building and deploying ML systems at scale
- Demonstrated success in leading end-to-end ML projects that drove measurable business outcomes
- Deep expertise in personalization, ranking, or user modeling
- Strong intuition around user behavior in consumer products
- Advanced proficiency in Python
- Advanced proficiency in SQL
- Proficiency in common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost)
- Strong communication and leadership skills
- Ability to influence roadmap and align cross-functional teams
- Experience building ML applications in E-commerce or Social products (Preferred)
- Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking (Preferred)
Responsibilities
- Lead the design, development, and productionization of ML models that power user acquisition, activation, and retention (e.g., ranking models, targeting systems, uplift modeling)
- Own the full model lifecycle: from data collection and feature engineering to model training, evaluation, deployment, and online experimentation
- Identify and prioritize high-impact opportunities where machine learning can unlock growth, collaborating with product, engineering, data, and marketing stakeholders
- Drive technical excellence and establish ML best practices across the Buyer Growth team
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