GenAI Platform Engineer: Open-Weights Serving & Fine-Tuning

DoorDash; Seattle (WA); On-site; USD 137,100 - 201,600; Full time

Benefits offered by this job

401(k) plan with employer matching

16 weeks of paid parental leave

Health insurance benefits

Job summary

DoorDash is seeking an engineer to build production infrastructure for Generative AI, focusing on model serving and fine-tuning in Seattle. The role involves enhancing GPU performance, partnering with ML and product teams, and shaping the centralized GenAI platform to drive AI-powered products.

The ideal candidate will have a Computer Science degree, 3+ years experience in software engineering, and strong skills in Python and distributed systems.

Qualifications

• 3+ years of industry experience in software engineering.
• Experience building production services, APIs, or data pipelines at scale.
• Hands-on experience with LLM inference and/or fine-tuning in production.

Responsibilities

• Build the infrastructure for Generative AI at DoorDash.
• Design scalable systems for model serving and fine-tuning.
• Partner with teams to turn GenAI capabilities into platform primitives.

Skills

Backend engineering fundamentals

Python

Distributed systems

LLM inference

ML infrastructure

Education

B.S., M.S., or Ph.D. in Computer Science

Tools

Kubernetes

AWS

GCP

Job description

DoorDash is seeking an engineer to build production infrastructure for Generative AI, focusing on model serving and fine-tuning in Seattle. The role involves enhancing GPU performance, partnering with ML and product teams, and shaping the centralized GenAI platform to drive AI-powered products.

The ideal candidate will have a Computer Science degree, 3+ years experience in software engineering, and strong skills in Python and distributed systems.