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ML Engineer

Remote

We're seeking an experienced ML Engineer to develop and deploy intelligent systems for automated banner generation and adaptation. You'll build models that predict optimal element positioning when converting banners between different formats and dimensions, enabling scalable creative production.

Key Responsibilities

Design and implement ML models for predicting banner element coordinates across different dimensions and formats
Develop regression models to handle aspect ratio changes, scaling, and layout optimization
Build data pipelines for training data generation from existing banner designs
Create evaluation metrics to measure layout quality and design consistency
Deploy models to production with low-latency inference requirements
Collaborate with designers to understand layout principles and constraints
Implement A/B testing frameworks to validate model performance
Optimize models for different banner types (display ads, social media, web banners)

Required Qualifications

3+ years of experience in machine learning engineering
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, or scikit-learn)
Experience with regression models and multi-task learning
Understanding of computer vision and spatial reasoning problems
Proficiency with gradient boosting methods (XGBoost, LightGBM, CatBoost)
Experience deploying ML models to production environments
Strong understanding of feature engineering and model evaluation
Familiarity with MLOps practices and tools (MLflow, Kubeflow, etc.)

Preferred Qualifications