Software Engineer, ML Serving Platform (San Francisco)

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. You’ll help build the next generation of our ML serving platform, connecting request routing and online feature retrieval with model inference on CPU and GPU infrastructure. You’ll tackle challenging infrastructure problems involving latency, reliability, resource efficiency, and scale, and make those capabilities accessible through self-serve tools and workflows.

Key responsibilities

• Empower modelers through self-serve infrastructure
• Bring open source innovation into production
• Solve demanding inference infrastructure problems
• Help evolve our disaggregated serving architecture
• Improve Kubernetes deployment and autoscaling
• Build integrations, validation, and migration tooling that help teams adopt new serving capabilities and our unified global platform with confidence

Requirements

• 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
• Understand distributed systems fundamentals, including concurrency, networking, timeouts, failure handling, and performance trade-offs
• Enjoy challenging infrastructure problems and can independently turn a defined problem into a technical design, tested implementation
• Experience debugging production systems and using operational data to improve reliability, performance, or cost
• Care about the engineers using your platform and collaborate effectively with customers and partners to make complex infrastructure easier to adopt

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $130,600 to $192,000 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.