Senior Machine Learning Engineer, Ads Targeting

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Requirements:

• 2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch with large-scale ML systems
• 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
• Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery
• Experience working with nearest-neighbor search systems is a big plus
• Experience building & improving MLOps tools and ML experimentation workflows
• Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research
• Knowledge of large scale search & recommender systems, or modern ads ranking/retrieval/targeting systems is preferred
• Experience with deep learning, representation learning or transfer learning is preferred
• Tech lead experience in a product team is strongly preferred

Responsibilities:

• Own end-to-end execution of ML-based targeting products like smart targeting expansion, keyword targeting, auto targeting, user lookalikes etc
• Own offline & online experimentation of ML models for improving targeting products to drive advertiser outcomes
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models) with a focus on improving advertiser outcomes
• Drive technical roadmaps and lead day to day project execution, and contribute meaningfully to team vision and strategy
• Work on large scale data systems, backend services and product integration
• Collaborate closely with multiple stakeholders cross product, engineering, research and marketing