6 months ago
Base Salary
$269k - $395k/yr
Responsibilities
- Set the long-term technical vision and lead technical direction for AI-first ads and promotions delivery experiences.
- Design, build, and improve ranking and relevance systems that select, order, and personalize ads in real time across verticals and global markets.
- Apply deep learning, sequence modeling, LLMs, personalization, query understanding, user and content understanding, and multi-objective optimization techniques.
- Own the full model lifecycle from research and data analysis through development, evaluation, deployment, monitoring, and continuous iteration.
- Design offline analyses, online experiments, and metrics to measure model quality, business impact, and marketplace tradeoffs.
- Translate emerging ML and AI research into scalable, production-ready systems operating under strict latency, scale, and reliability constraints.
- Partner with engineering, product management, data science, analytics, operations, and design teams to deliver user-facing improvements and align cross-team execution.
Requirements
- 5+ years of experience building, deploying, and scaling ML and AI models for large-scale, user-facing or data-intensive products.
- BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Deep expertise in at least one of deep learning, large language models, information retrieval, ranking and relevance, recommendation systems, natural language processing, or content understanding.
- Strong programming skills in Python, Java, or C++ and hands-on experience with ML frameworks such as PyTorch, TensorFlow, or XGBoost.
- Experience across the full ML lifecycle, including data analysis, feature engineering, iterative model development, offline and online evaluation, monitoring, and continuous improvement.
- Experience designing and deploying LLM-based systems, prompt engineering, retrieval-augmented generation architectures, or Generative RecSys is preferred.
- Experience with large-scale personalization, user modeling, retrieval, ranking, and relevance is preferred.
- Open-source contributions, publications, or applied research in ML, NLP, information retrieval, or related fields are preferred.
- Strong collaboration and communication skills with a product-minded, impact-driven approach.
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Flexible paid time off/vacation for salaried roles
- 80 hours of paid sick time per year for salaried roles
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family-forming assistance
- Mental health program
Categories
About DoorDash
DoorDash builds a marketplace and logistics platform that connects consumers with local restaurants and retailers for on-demand delivery and pickup, powered by a network of independent Dashers. It earns through delivery fees, merchant commissions, advertising, DashPass subscriptions, and white-label fulfillment via DoorDash Drive. Founded in 2013 and headquartered in San Francisco, the public company operates across the U.S. and selected international markets, and also researches automation through DoorDash Labs.