Machine Learning Engineer – Buyer Growth
| Company | WhatNot |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, Los Angeles, CA, USA, New York, NY, USA |
| Salary | $235000 – $270000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ 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, SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost).
- Strong communication and leadership skills; ability to influence roadmap and align cross-functional teams.
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.
Preferred Qualifications
- Experience building ML applications in E-commerce or Social products
- Prior experience in growth domains: user segmentation, retention modeling, large scale recommendation systems, notification ranking, etc.