Startups · AI

Senior Machine Learning Engineer

Alt · Remote · Remote

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About Alt

Backed by First Round Capital.

About the role

Every buyer, seller, and lender on Alt is acting on a number our models produced. Alt Value prices the card. The underwriting model sizes the advance. Those two systems are the difference between a marketplace and a handshake, and they are the closest thing we have to a moat.

What they're looking for

  • 7+ years engineering, with 5+ years building and shipping production ML/AI models
  • Production-grade Python and SQL , including custom feature-engineering pipelines — not just off-the-shelf scikit-learn. Time-decay weighting, leakage-safe k-fold cross-validation, cascading fallback and imputation logic
  • Gradient-boosted or ensemble estimators trained and validated against strict accuracy tolerances, with segment-specific tuning by category or asset type
  • LLMs and foundation models in production , for both internal tooling and user-facing product
  • MLflow or a comparable tool for experiment tracking and model registry/versioning
  • Production model-serving on AWS that was yours — capacity planning, autoscaling, and diagnosing memory and timeout failures at scale
More about this role

Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. We let collectors buy, sell, vault, and finance their cards in one place and we are backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes like Tom Brady and Giannis Antetokounmpo. Our next frontier is real-time pricing at scale—the Alt Value that powers every trade, loan, and product on the platform.

Every buyer, seller, and lender on Alt is acting on a number our models produced. Alt Value prices the card. The underwriting model sizes the advance. Those two systems are the difference between a marketplace and a handshake, and they are the closest thing we have to a moat.

We've proven model-driven pricing works. This role takes it from working to excellent: more coverage, better accuracy, lower cost to run, faster to refresh. You'll own the full lifecycle — feature generation, training, validation, deployment, serving, and the monitoring that catches drift before a customer does.

This is not a research seat. The models exist. What they need is someone who treats production as the deliverable.

The metric you own: Model-Based Pricing Coverage — the percentage of cards...

Read the full posting on Alt's site ↗

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