14 hours ago
Seattle, WA, USA +2 moreMid Level
H1B sponsor
Base Salary
$131k - $192k/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, efficient production services.
- Improve request routing, online feature retrieval, model execution, and disaggregated serving components at large scale.
- Improve Kubernetes deployment, autoscaling, and CPU/GPU resource efficiency while meeting latency and availability requirements.
- Build adoption, validation, migration, and rollout tooling for new serving capabilities and the unified global platform.
- Use benchmarking, profiling, metrics, and tracing to identify bottlenecks and improve production performance, reliability, and cost.
- Participate in on-call support and improve automation and runbooks.
- Own defined projects from technical design through implementation, testing, rollout, and production support.
Requirements
- At least 2 years of software engineering experience building and maintaining production services or infrastructure.
- Strong computer science fundamentals and proficiency in a backend or systems programming language such as Java, Kotlin, Go, C++, or Python.
- Understanding of distributed systems fundamentals, including 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.
- Ability to collaborate with internal platform customers and partners to make complex infrastructure easier to adopt.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Preferred experience includes ML inference infrastructure, online feature retrieval, latency-sensitive distributed services, Kubernetes operations, self-serve developer platforms, open-source infrastructure or models, and CPU/GPU performance profiling.
Benefits
- 401(k) plan with employer matching.
- 16 weeks of paid parental leave.
- Wellness benefits and commuter benefits match.
- Flexible paid time off and 80 hours of paid sick time per year for salaried roles.
- Medical, dental, and vision benefits.
- 11 paid holidays, disability insurance, and basic life insurance.
- Family-forming assistance and a mental health program.
- The role is a salaried position with a U.S.-localized base salary range of $130,600–$192,000 per year.
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.