Shopify Engineering @ShopifyEng
Making commerce better for everyone. Follow us for technical discussions and updates on how engineers build @Shopify. Explore open roles: https://t.co/NFSvvCJBXt shopify.engineering Working Remotely Joined May 2016-
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Full scope + covered surfaces drop Thursday June 4. Live Monday June 8. bugbounty.shopify.com #bugbounty
Multipliers on standard bounty for auth & ATO findings: • Medium = 1.25× • High = 1.5× • Critical = 2× Open to any researcher on our HackerOne. No cohort, no invite list.
Authentication & Account Takeover campaign on our bug bounty program. June 8 through June 26. Multipliers on auth & ATO findings, up to 2× for criticals ↓
Recently @tobi shared the philosophy behind River, our Slack-native AI agent, and how it has become a teaching workshop for all of @Shopify. Below River lies the Aquifer. Principal Engineers @burkelibbey & Javier Moreno share the engineering story of how River came to be, and the substrate it runs on:
⚡ @Shopify is running sub-agents in parallel to analyze complex data over a long horizon for more accurate merchant growth forecasts at a global scale.
(@MySQL for the win) shopify.engineering/scaling-invent…
Sometimes the most unobvious-but-correct architecture decision is just... using your primary database. We tried it on one of our highest-stakes checkout paths, at BFCM scale. Here's how it went:
🔍 Come join the hunt for bugs here: shopify.com/bugbounty
📊 Bug bounty surveillance log | April '26 • 547 vulnerability reports intercepted • 232 new hackers onboarded • 42 reports awarded bounties • $180K+ distributed to hunters
Read more on our Eng Blog: shopify.engineering/fine-tuning-ag… Or if you’re in Rio, check out @Shopify’s booth at @iclr_conf to chat about it in person!
We reverse-engineered training data from thousands of merchant-created automations and fine-tuned Qwen3-32B into a tool-calling agent for Shopify Flow. Results: 2.2x faster, 68% cheaper The more interesting part: why we trained on Python instead of our own DSL, and what broke when benchmarks looked good but production didn't. ⬇️
Find the full 3-day schedule of our booth presentations here. ta-conference.myshopify.com/pages/shopify-…
Our SimGym Expo Talk is Saturday @ 12:45pm (room 201c) join the chat and find the recording (eventually!) here. iclr.cc/virtual/2026/e…
🇧🇷 Come talk shop with Shopify at ICLR 2026 in Rio starting Thursday! 🇧🇷 We're building ML that runs 10% of e-commerce — from LLM-powered agents to production retrieval systems and sim-to-real pipelines. Real problems, real scale. Redefining commerce intelligence. Stop by Booth #202 for deep dives on: ⚡️Sidekick — agentic merchant AI with MCP tools + multi-turn reasoning ⚡️ Commerce Foundation Model — cross-domain architecture for recs, search, catalog ⚡️ Global Catalog — multimodal LLMs, 10K+ categories, 40M inferences/day ⚡️ Search Rewriting — L1 retrieval + L2 LLM re-ranking at scale ⚡️ SimGym — sim-to-real agent training for storefronts (Expo Talk 📷) ⚡️ Tangle — the open source ml experimentation platform
The full story of the extension @davebcn87 & @tobi open-sourced is on our Eng Blog: shopify.engineering/autoresearch
Since we open-sourced pi-autoresearch, @Shopify teams have been running it on everything. Results so far: Unit tests: 300x faster React component mounting: 20% faster CI build time: 65% reduction Made pnpm run faster Autoresearch never stops trying things you'd never have time to try. Repo: github.com/davebcn87/pi-a…
.@fnthawar talks AI infrastructure, culture, and guardrails behind productivity gains with @BessemerVP
.@Shopify has been building with AI since 2021 — here are 10 engineering principles behind how they do it. Learn more from Head of Eng @fnthawar, who goes deeper on them all inside Shopify's AI-first engineering playbook 👇 bessemervp.team/4vn0Nhw
Commerce data is inherently messy: inconsistent product images, descriptions in dozens of languages, millions of merchants all doing it differently. Most AI benchmarks don't capture that complexity. We partnered with @MLCommons to change that:
MLPerf Inference v6.0 is here - our most significant benchmark update ever. 5 new/updated benchmarks. 24 submitting organizations. Industry-first tests for text-to-video and speculative decoding. Full results: mlcommons.org/2026/04/mlperf… #MLPerf #MLCommons
Insights that were once out of reach for smaller merchants are now available, fast. Full deep dive → shopify.engineering/simgym #GTC2026
SimGym now runs simulated shopping sessions by the hundreds of thousands daily—with a step-change in speed on Blackwell GPUs. We partnered with engineers from @NVIDIAAI and @vLLM_project to shape a new inference stack around real production traffic: custom FlashInfer kernels, speculative decoding, and async scheduling.
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