Staff Machine Learning Engineer - Ads Targeting

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Requirements:

• Tech lead experience in a product ML team driving research and technical direction to improve business outcomes.
• Experience with ads retrieval modeling, ranking, or recommendation systems.
• Proficient in deep learning models for retrieval, including two tower models, GNNs, transformers, and LLMs.
• 5+ years of end-to-end experience training, evaluating, testing, and deploying machine learning models.
• 2+ years of experience building ML models using TensorFlow or PyTorch.
• Familiarity with large scale data processing and pipeline orchestration tools such as Spark, Dataflow, Kubeflow, Airflow, and BigQuery.
• Experience with nearest-neighbor search systems is a plus.
• Ability to work with cross-functional stakeholders.

Responsibilities:

• Own end-to-end design and execution of ML-based targeting products like auto targeting and user lookalikes.
• Drive research direction and technical roadmap for complex projects and lead day-to-day project execution.
• Collaborate with product managers and cross-functional partners to develop and prioritize the roadmap.
• Research, implement, test, and launch new model architectures for retrieval using deep learning.
• Mentor junior machine learning engineers.
• Conduct offline and online experimentation of ML models.
• Work on large-scale data systems and product integration.