DoorDash hires for production migration from frontier APIs to open-weights models
swaroopch · x · 2026-07-22
DoorDash is hiring an engineer to move real product workloads from proprietary APIs to open-weights models in production.
- The team says it has been investing in open weights for more than a year and has already had notable success.
- The role sits between infra and product and covers the full path: evals, prompt tuning, benchmarking, and inference.
- The post explicitly looks for someone who can compare sglang vs. vLLM and understands where models like Qwen, GLM, Kimi, Inkling, and Nemotron are strong or weak under production load.
- The goal is to run the same workload on a tuned open-weights model, making it cheaper and faster than a frontier-model API.
It’s a useful signal that large product teams are treating open-weights migration as a serious production engineering problem, not a hobby project.
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