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Аналитик данных (Power BI)
Зарплата: от 250000 RUR (на руки) Мы - продуктовая компания в сфере онлайн-развлечений: разрабатываем и оперируем высоконагруженную B2C-платформу. У нас 7 собственных брендов в нескольких гео Азии, запускаем новые…

Machine Learning Engineer, Marketplace Optimization
Build and scale ML systems for DoorDash’s ad marketplace, optimizing bidding, auctions, budget pacing, and forecasting to balance advertiser, consumer, and platform needs.

Manager, Consumer Paid Marketing
About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about —…

Principal Machine Learning Engineer, Ads & Promos Delivery
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.

Senior Software Engineer, iOS
Build and maintain DoorDash’s iOS app used by millions, focusing on real-time data sync, API integration, and Swift-based features for a 3-sided marketplace.

Senior/Staff Deep Reinforcement Learning Engineer - DoorDash Dot
About the Team Our DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning…

Senior Staff Machine Learning Engineer
Leads AI-driven ads and promotions delivery systems at DoorDash, designing real-time ranking/relevance models using deep learning, LLMs, and sequence modeling to optimize merchant-consumer matching across search/discovery platforms.

Senior Staff Software Engineer - Launchpad
Lead backend engineering for a confidential hardware-integrated product at DoorDash, designing 24/7 systems and shipping features rapidly while collaborating with Product, Design, and Hardware teams.

Software Engineer, Backend (All Teams)
Build and maintain DoorDash's global logistics backend, migrating a monolith to microservices while optimizing performance, reliability, and scalability for a 3-sided marketplace.

Software Engineer, Data Platform (All Teams)
Builds and maintains DoorDash’s scalable data platform (Spark, Flink, Kafka, Airflow) to enable real-time analytics, data governance, and business insights for logistics/delivery operations.

Software Engineer II, Data Engineering
Build and scale high-performance data pipelines and warehouse models to power analytics and reporting at DoorDash, using Python/Java, Spark, Airflow, Kafka, and Snowflake.

Staff Machine Learning Engineer - DashPass
Build and deploy large-scale ML systems to personalize offers and incentives for DoorDash’s DashPass loyalty program, optimizing subscriber acquisition, retention, and churn reduction.

Staff Software Engineer, Backend
Staff Software Engineer designs and maintains DoorDash’s global backend systems for its 3-sided marketplace, using modern web stacks, microservices, and databases to improve scalability and reliability.

Staff Software Engineer, Data Engineering
Lead the design and scaling of DoorDash’s data infrastructure, building reliable pipelines and models for analytics, reporting, and financial systems using Python/Scala, Spark, Airflow, and streaming tech.

Staff Software Engineer, Machine Learning - Personalization
Builds and deploys ML models for personalization and growth, focusing on recommendation systems and causal inference to enhance DoorDash’s grocery/retail search experience using PyTorch/TensorFlow in Python.

Software Engineer, Machine Learning Infrastructure - Generative AI
Builds and maintains the shared infrastructure that lets DoorDash teams safely deploy generative AI products, focusing on evaluation, observability, and agent systems using Python, distributed systems, and ML tooling.

Senior Software Engineer, Machine Learning Infrastructure - Generative AI
Build and scale the shared infrastructure that powers DoorDash’s generative AI products, including real-time and batch LLM inference, fine-tuning, and agent platforms across San Francisco, Sunnyvale, and Seattle.
Machine Learning Engineer, Drive
Build and deploy ML models for delivery ETAs, prep-time prediction, and logistics optimization at DoorDash Drive, using deep learning, reinforcement learning, and multimodal AI.