Senior Machine Learning Engineer

Job not on LinkedIn

🔥 13 minutes ago

🇺🇸 United States – Remote

💵 $235k - $250k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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ALT

WebsiteLinkedInAll Job Openings

51 - 200 employees

At ALT, we’re on a mission to unlock the value of alternative assets, and looking for talented people who share our vision.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• A seat at the table to help shape the future of Alt and the alternative asset space • Autonomy and ownership on projects that matter • $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)