Helps collect, clean, and organize data; builds simple reports and visualizations; monitors key metrics and investigates anomalies; documents data sources and processes; and supports senior analysts on analytics projects. Works with Excel, SQL, and BI tools during US hours (PST - EST).
Designs and builds production-grade AI/ML and agentic systems using Python, covering orchestration, tool use, memory, state management, model training/evaluation, observability, and scalable infrastructure while turning research into prototypes.
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.
Senior Frontend Engineer on Reddit's Ad Formats Foundation team, building and maintaining ad rendering infrastructure and frontend experiences across desktop and mobile web using JavaScript, TypeScript, and React, while partnering with product and design to improve performance, accessibility, and reliability.
A Senior Forward Deployed Engineer at Reddit builds AI applications, agents, and workflow automations for internal teams like Sales, Marketing, and Finance, partnering with the AI Platform team to prototype and productionize AI-native solutions using LLMs, MCP integrations, observability, and evals.
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.
Senior Program Manager leading business process transformation for Reddit's GTM Excellence team, focusing on scaling sales processes, designing scalable operating models, and driving cross-functional alignment to increase seller productivity and improve advertiser experience. Requires 5+ years in strategic program management, consulting, or business operations, with strong analytical and stakehold
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.
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.
Frontend Engineer on Reddit's Brand Ad Formats team building ad experiences for the web app using TypeScript, React, and Go. Collaborates across product, design, and engineering to create high-performance, data-intensive ad formats including video and AI-driven UGC ads.
Mid-level frontend engineer on Reddit's Ads Manager team building intuitive, accessible interfaces for advertisers to create and manage campaigns at scale. Owns medium-sized projects end-to-end, collaborating with PMs, designers, and backend engineers to deliver performant, reliable advertising tools.
Senior Product Manager on Reddit's Go-to-Market Systems team, owning vision and roadmap for sales technology tools that boost seller productivity and advertiser growth. Builds Salesforce-based automation, data enrichment, and AI-driven workflows for the global sales org.
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.
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.
Senior Data Scientist on Reddit's Ads team building ML models and statistical solutions to optimize advertiser experience and platform performance, using Python, Spark, and large-scale data analysis.
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.
Senior Data Engineer (12-month contract) building and migrating data pipelines to Databricks Lakehouse (dbt, Looker) for a fintech platform serving 200+ banks; owns ingestion, replication, data contracts, and on-call for pipeline health.
Builds the authoring experience for Alwin, DataSnipper's agentic audit-automation platform, turning audit methodology into governed, versioned AI agents. Day-to-day work spans Python (FastAPI, Pydantic, MongoDB) on Azure and React, with agent runtimes, evals, tracing, and security for regulated audit customers.
Designs and optimizes high-performance CUDA kernels and GPU libraries for AI training, inference, and HPC workloads. Works with ML engineers to profile production GPU systems using Nsight and NCCL, shipping performance improvements in C++/CUDA, PyTorch, JAX, or Triton.
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