Staff Software Engineer at Vox Media leading technology for New York Magazine's digital publications and subscription platforms. Works across web (Node.js, Vue, Clay CMS) and mobile (React Native, Expo) to build subscription experiences, publishing tools, and AI-assisted workflows.
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.
A Staff Data Scientist on Reddit's Ads Data Science team owns a high-impact problem space spanning measurement, identity resolution, and signal quality — designing probabilistic identity models, lift methodologies, and signal strategies that improve advertiser bidding efficiency and ROAS.
Staff Data Scientist leading ads measurement, identity resolution, and signal quality for Reddit's advertising platform, designing probabilistic models, lift methodologies, and evaluation frameworks using Python/R, SQL, and ML.
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.
Senior Staff Data Scientist leading relevance measurement and evaluation for Reddit's Consumer team, partnering with Feeds and Search ML teams to design metrics, experiments, and analytical frameworks for ranking and recommendation systems at scale using SQL, Python/R, and causal inference.
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.
Staff Technical Product Manager for Reddit's Ads ML Platform, owning the vision and roadmap for ML infrastructure that powers ad targeting, content understanding, and ranking. Partners with engineering and data science teams to build ML tools, optimize GPU utilization, and integrate generative AI/LLM workflows.
Staff Data Scientist who leads Reddit's Marketing Intelligence strategy, owning the multi-year measurement roadmap, MMM/MTA models, and incrementality experiments that optimize hundreds of millions in B2B advertiser and B2C user growth spend. Works with Python/R, SQL, and machine learning, mentors scientists, and influences C-suite stakeholders on marketing budget allocation.
Lead Reddit's marketing measurement strategy as a Staff Data Scientist, owning MMM/MTA systems, incrementality testing, and causal inference to optimize B2B and B2C marketing spend using Python/R and SQL.
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 Android Engineer leading video ad format development for Reddit's Brand Ad Formats team, building scalable, high-performance Android ad experiences using Kotlin and modern architecture, with focus on video ads, interactive formats, and AI-driven features.
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.
Staff Product Manager for Reddit's Ad Formats & Experience team, driving strategy and execution for lower-funnel ad formats, browser/post-click optimizations, and format foundations. Collaborates with engineering, UX, data science, and product marketing to optimize advertiser outcomes and user experience.
Staff Data Scientist on Reddit's Ads Data Science team, focusing on ads measurement, identity resolution, lift experimentation, and predictive modeling to maximize advertiser value. Uses Python/R, SQL, and advanced statistical methods to design identity graphs, lift methodologies, and signal quality frameworks.
Staff Data Scientist on Reddit's Ads Data Science team, designing probabilistic identity models, advancing lift experimentation, and optimizing signal quality for ad measurement and predictive performance. Requires advanced degree, 6-10+ years experience, deep ads expertise, and proficiency in Python/R, SQL, ML, and causal inference.
Leads design and development of Scale AI's core data storage, streaming, caching, and indexing platforms on the Platform Engineering team. Drives architecture and reliability of foundational data systems using MongoDB, Postgres, Kinesis, Flink, Spark, Elasticsearch, Redis, Trino, Presto, Snowflake, Kubernetes, and CircleCI, while providing technical leadership and mentoring for AI/ML products.
Staff Software Engineer to design, optimize, and lead Pinterest's batch processing platform using Spark, Presto/Trino, and Iceberg at petabyte scale, mentoring engineers and ensuring data system reliability.
Staff Software Engineer on Toast's International team, leading complex projects and building resilient, scalable systems for the company's global hospitality platform expansion. Day-to-day work includes mentoring engineers, cross-functional collaboration, and using Java/Kotlin with AI tools to support international product launches.
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