Note: The job is a remote job and is open to candidates in USA. Alt is unlocking the value of alternative assets, starting with the $5 B trading-card market. They are hiring a Senior Machine Learning Engineer to own productization of pricing and underwriting models, optimizing them for accuracy and efficiency while managing the full ML lifecycle.
Responsibilities
- Optimize our pricing models to significantly reduce infrastructure costs while maintaining and improving their accuracy, especially for high-value assets
- Iterate on our underwriting model to maximize cash advance disbursements while maintaining target risk thresholds and default rates
- Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring
- Collaborate closely with our Expert Pricers to become a domain expert in the trading card market and inform model improvements
- Design and execute experiments and backtesting to discover and validate new features that improve the models’ predictive power and coverage
- Own the models’ AWS infrastructure, writing code for our pricing APIs to ensure the models can serve at scale and with low latency
Skills
- 7+ years of engineering experience, with 5+ years building and shipping production ML/AI models
- Deep proficiency in production-grade Python and SQL, including building custom feature-engineering pipelines (not just off-the-shelf scikit-learn). Think time-decay weighting, leakage-safe k-fold cross-validation, and cascading fallback/imputation logic
- Experience training and validating gradient-boosted or ensemble estimators against strict accuracy/error tolerances, with segment-specific tuning (e.g., by category or asset type)
- Experience leveraging LLMs, foundation models, and AI dev tools for both internal tooling and user-facing product use cases in production
- Experience with MLflow or a comparable tool for experiment tracking and model registry/versioning
- Comfortable owning production model-serving infrastructure on AWS — capacity planning, auto-scaling, and diagnosing memory/timeout failures at scale
- Experience with CI/CD pipelines, orchestrating production workflows, and IaC for provisioning and modifying cloud infrastructure
- Pragmatic and focused on delivering value incrementally rather than pursuing perfection
- Experience with real-time or low-latency models serving at scale
- Previous startup experience — you understand and thrive on the pace, adaptability, and ownership required in a fast-moving environment
- Interested in or knowledgeable of trading cards, collectibles, or alternative asset markets
Benefits
- $100/month work-from-home stipend
- $200/month wellness stipend
- WeWork office stipend
- 401(k) retirement benefits
- Flexible vacation policy
- Generous paid parental leave
- Competitive healthcare benefits, including HSA, for you and your dependent(s)
Company Overview