Senior AI/ML Engineer - Real-Time Ranking

DoorDash Canada; San Francisco (CA); On-site; USD 243,000 - 357,000; Full time

Benefits offered by this job

401(k) with employer matching

Parental leave

Wellness benefits

Commuter benefits

PTO & sick leave

Medical, dental, and vision benefits

Disability and life insurance

Mental health program

Job summary

DoorDash in San Francisco seeks a Senior Staff Engineer to lead AI-first experiences for ads, ranking, and relevance across global markets. You will design and deploy next-gen ranking systems using sequence models, LLMs, and large-scale ML, balancing advertiser value with user experience at scale.

You will own the full ML lifecycle from research to production, collaborate with product and data science teams, and drive cross-team alignment to ship high-impact AI features for merchants and

Qualifications

• 5+ years of experience building, deploying, and scaling ML/AI models for large-scale products.
• Experience with full ML lifecycle including data analysis, feature engineering, evaluation, and monitoring.
• Proficiency with Python, Java, or C++ and ML frameworks.

Responsibilities

• Own the full model lifecycle from research to production.
• Evaluate ML/LLM models with offline and online experiments.
• Collaborate with product managers, data scientists, and designers to ship AI-driven improvements.
• Stay at the forefront of ML/AI innovations and translate research into production systems.

Skills

ML engineering

Python

Java

C++

PyTorch

TensorFlow

XGBoost

LLMs

Information retrieval

Ranking & relevance

Experimentation

Education

BS/MS/PhD in CS or related

Tools

Claude Code

Codex

Cursor

PyTorch

TensorFlow

Job description

DoorDash in San Francisco seeks a Senior Staff Engineer to lead AI-first experiences for ads, ranking, and relevance across global markets. You will design and deploy next-gen ranking systems using sequence models, LLMs, and large-scale ML, balancing advertiser value with user experience at scale.

You will own the full ML lifecycle from research to production, collaborate with product and data science teams, and drive cross-team alignment to ship high-impact AI features for merchants and