ML Ops Engineer

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Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce‑enablement technology with high‑volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator‑built software suite including OMS, Pre‑ and Post‑Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end‑to‑end commerce solutions combine best‑in‑class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry‑leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top‑tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

Stord is revolutionizing the logistics industry with our cloud‑based supply chain platform. Our newly formed AI team is building cutting‑edge features that leverage both traditional ML models (deployed on Modal.com) and LLM capabilities (via Cloudflare Workers AI, Vertex AI, and direct provider integrations). We need someone who can bridge the gap between data science and production engineering to help us ship ML features rapidly and reliably.

We are seeking a skilled ML Operations Bridge Engineer who thrives at the intersection of data science and software engineering. You'll work directly with our Senior Data Scientist to take models from Jupyter notebooks to production APIs serving millions of predictions daily. This is a hands‑on role where you'll build data pipelines, deploy models, create monitoring systems, and ensure our ML features deliver real business value.

In this role, you'll be instrumental in building our ML infrastructure from the ground up. You'll work on critical features like delivery time estimation, demand forecasting, and AI‑powered insights, with the freedom to shape our MLOps practices and tooling choices. This is a unique opportunity to have massive impact on a small, ambitious team.

What You’ll Do

ML Operations & Deployment

• Take trained models from our Data Scientist and deploy them to Modal.com or Vertex AI
• Build TypeScript (or Python or Elixir – the best tool for the job) APIs that serve model predictions with
• Implement A / B testing frameworks for model comparison
• Create model versioning and rollback strategies
• Monitor model performance and catch drift before customers notice

Data Pipeline Development

Infrastructure & Integration

Cross-functional Collaboration

What You’ll Need

Preferred Qualifications

Seniority Level

Employment Type

Job Function

Industries

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