3 days ago
Base Salary
$168k - $247k/yr
Responsibilities
- Build self-serve tools, APIs, and workflows for deploying, configuring, validating, and operating machine learning models.
- Integrate open-source inference frameworks and models into reliable production services.
- Improve request routing, online feature retrieval, model inference, and disaggregated serving architecture.
- Optimize Kubernetes deployment, resource management, and autoscaling for CPU and GPU workloads.
- Develop integrations, validation, and migration tooling to support adoption of new serving capabilities.
- Use benchmarking, profiling, metrics, and tracing to improve performance, reliability, and cost, while participating in on-call and production support.
Requirements
- 2+ years of software engineering experience building and maintaining production services or infrastructure.
- Proficiency in a backend or systems programming language such as Java, Kotlin, Go, C++, or Python.
- Strong computer science fundamentals and understanding of distributed systems, concurrency, networking, timeouts, failure handling, and performance trade-offs.
- Ability to independently turn defined problems into technical designs, tested implementations, and safe production rollouts.
- Experience debugging production systems and using operational data to improve reliability, performance, or cost.
- Degree in Computer Science or a related field, or equivalent practical experience.
- Preferred experience includes ML inference infrastructure, online feature retrieval, Kubernetes workloads, self-serve developer platforms, open-source infrastructure or models, CPU/GPU profiling, inference runtimes, or model deployment workflows.
Benefits
- Comprehensive benefits for regular employees, including medical, dental, vision, disability, basic life insurance, and mental health programs.
- 401(k) plan with employer matching, equity grant opportunities, paid parental leave of 16 weeks, family-forming assistance, wellness benefits, commuter benefits match, paid time off, and paid sick leave.
- Salaried roles receive flexible paid time off or vacation plus 80 hours of paid sick time per year.
- The position is US-based, with base salary localized according to work location.
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.