Leads Reddit's Ads Data Science strategy, designing foundational ML and statistical solutions for the ads marketplace while mentoring senior data scientists and partnering with product and engineering teams. Uses Python/R, SQL, causal inference, econometrics, and experimentation to optimize advertiser ROI and revenue.
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.
Principal Data Scientist for Reddit's User Ecosystem, setting the scientific direction for consumer problems such as discovery, personalization, growth, retention, and communities. Day to day: define measurement and experimentation strategy, build user/content/community models and causal frameworks at scale, and guide product decisions. Core technologies: machine learning, deep learning (PyTorch o
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.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on…
Leads a team of engineers building Reddit's Knowledge Graph Platform, setting technical direction for scalable data and API contracts, service interfaces, reliability, observability, and developer experience while leveraging LLMs and agentic patterns for knowledge graph construction.
A senior frontend engineer who owns technical design and delivery of complex frontend features in Reddit's Ads Manager creative and recommendation workflows, using JavaScript, TypeScript, and React while collaborating with product, design, data science, ML, and backend teams.
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 Software Engineer on Reddit's Agentic Ads Experience team building AI-powered advertiser-facing interfaces (campaign assistants, creative generation, audience discovery) using generative AI, LLMs, and agentic systems; requires 5+ years production engineering and hands-on gen AI application experience.
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.
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 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 Product Manager owning Reddit's Shopping Product Catalog, the single source of truth for paid/organic product data. Leads catalog onboarding, LLM-based enrichment, ad overlays, and the Universal Catalog/Applied PKG platform, partnering with engineering, content understanding, and shopping teams to drive ROAS and product discovery.
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