Staff Machine Learning Engineer
Core
Design and deploy state-of-the-art machine learning models, ranking algorithms, and optimization systems powering an advertising platform handling over 1 billion daily ad impressions.
Role type
Staff Machine Learning Engineer (Ads Quality & Ranking)
Builds
Enterprise-grade ML infrastructure for real-time behavioral targeting, automated auctioning, bidding, and CTR/CVR prediction.
Domain
E-commerce advertising and ad-tech
Deliverable
production ML models
Required skills
Machine learning, deep learning, statistical modeling, Python, Java, system scalability, cross-team leadership, mentorship
Preferred skills
Search systems, information retrieval, recommendation engines, LLMs, embeddings, vector search, cloud platforms (AWS, GCP), startup experience, modern ML frameworks (TensorFlow, PyTorch, XGBoost), ML lifecycle tools (MLflow, Kubeflow)
Technologies
TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, H2O.ai, MLflow, Kubeflow, W&B, Amazon SageMaker, Vertex AI, BigQuery
Responsibilities
Architect and build large-scale ML and deep learning models for ad targeting and ranking; Develop advanced techniques for auto-bidding and ROI optimization; Architect end-to-end ML platforms for high-throughput, low-latency requests; Lead large-scale technical projects across multiple engineering teams; Provide technical guidance and architectural mentorship to mid-level and senior engineers.
Seniority
Staff, hands-on IC with leadership responsibilities
