Staff ML Engineer leading Reddit’s ads retrieval modeling: designing candidate-generation and two-tower retrieval systems, running experiments, and setting technical direction while mentoring engineers on the Retrieval & Targeting team.
Leads the Core Ads Ranking team at Reddit, defining technical vision for foundational ML models, user understanding, and graph learning; oversees end-to-end model lifecycle from research to production using TensorFlow/PyTorch, and collaborates with cross-functional teams to improve ad ranking systems.
Leads ML forecasting and scenario modeling for Reddit's ads platform, building models that predict campaign outcomes under different budgets, bids, audiences, and creative performance. Owns modeling direction, production ML systems, and technical leadership across advertiser planning and recommendations.
Staff ML Engineer on Reddit's Ads Creative Effectiveness team building GenAI products for ad creative generation (image/video/copy), brand-safe editing pipelines, and LLM/VLM fine-tuning with RLHF/RLPF using ad performance metrics.
Builds machine-learning forecasting models that help Reddit advertisers estimate campaign outcomes under different budgets, bids, audiences, and objectives; owns end-to-end production ML pipelines for ads forecasting and scenario modeling.
Staff Machine Learning Engineer building advanced ML models (DNNs, transformers) for Reddit's Ads Ranking system, focusing on app ads modeling, feature engineering, and large-scale recommendation systems using TensorFlow/PyTorch.
Senior Staff ML Systems Engineer leading technical strategy for Reddit's Ads ML Platform, focusing on feature development, training data, offline experimentation, and model iteration workflows using distributed systems like Spark, Flink, Kafka, and Kubernetes.
Staff ML Engineer leading Reddit's Ads Retrieval team, designing large-scale candidate generation models (two-tower, embeddings, ANN) using TensorFlow/PyTorch to improve ad relevance for 130M daily users.
Analyzes malware and customer detection tickets to improve CrowdStrike's machine-learning threat detection, manages false positives, and reviews binary files. Collaborates with data scientists and internal teams using Python, reverse engineering, and Windows/MacOS/Linux knowledge.
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