Machine Learning Engineer

All roles Machine Learning Engineer Scale the core ML platform behind our product, owning pipelines that ingest data, train models, and generate recommendations that every customer relies on.

Location San Francisco, CA · In-office Experience 4–6 years Compensation ~$200K base + equity Apply for this role The role We're hiring a Machine Learning Engineer to scale the core ML platform behind our product: the production systems that ingest operational data, train models, and generate recommendations. The central challenge is making these workflows scalable, repeatable, observable, and easy to operate across hundreds of customers. You'll own the platform end to end, from data ingestion through training pipelines to inference and monitoring in production. It's a high-ownership role on a small team, working directly with our CTO to ship systems every customer relies on.

What you'll do

• Own and scale the ML and data pipelines that power Lantern's customer recommendations.
• Build reusable infrastructure for data ingestion, feature generation, model training, validation, and output.
• Improve pipeline performance, reliability, and observability as Lantern scales across more customers.
• Build systems that catch data-quality issues, pipeline failures, and unexpected outputs before they reach customers.
• Turn customer-specific workflows into repeatable, configuration-driven systems, and help shape the platform architecture. What you bring
• 4–6 years as an ML or Software Engineer building ML systems in production.
• Strong software engineering fundamentals and clean, maintainable, production-grade code.
• Experience building and scaling ML training and inference pipelines, ideally multi-tenant or per-customer.
• Hands-on with Python, cloud infrastructure (AWS or GCP), and orchestration (Airflow, Kubeflow, or similar).
• Comfort with messy, real-world data.
• BS/MS in Computer Science or a related technical field. Nice to have
• Supply chain, logistics, demand forecasting, or operations-adjacent experience.
• Time-series forecasting frameworks and traditional ML tools (XGBoost, LightGBM, scikit-learn).
• Prior early-stage startup experience where you wore multiple hats. What you'll get
• A founding-era, high-impact role at a hyper growth startup.
• Own the ML platform that drives customer P&L on every account.
• Make a massive positive impact across our entire supply chain and economy.
• Competitive compensation: ~$200K base + meaningful equity.
• An office in San Francisco with a tight-knit founding team. What we value We hire strong engineers who build real systems, combining technical depth with pragmatic execution and a sense of ownership. Hard work, humility, customer obsession, and pride in a job well done. These are the values our customers live by, and the values we hire for.

About Lantern Lantern is building the future of distribution. Billions of dollars sit tied up in stock, yet most distributors still buy on gut feel and spreadsheets. We partner with leading distributors to deliver precise, AI-powered purchasing recommendations that drive millions of dollars straight to the bottom line.

Apply for this role Share your details and resume. We read every application and reply if it's a fit.

Application received Thanks for applying to Lantern. If it's a fit, we'll reach out by email soon.