Staff Principal ML Engineer

Staff / Principal ML Engineer Predictive Modelling for Alternative Assets

Full-time | Remote (North America) | $240K to $270K + Equity

About the Company

A fast-growing fintech startup is revolutionizing the valuation and trading of alternative assets. Their proprietary pricing engine powers real-time valuations, lending decisions, and risk assessments for high-value collectibles, used daily by investors and collectors across North America. Backed by top venture firms and well-known names in fintech and sports, this company is redefining liquidity in a $5B market and expanding rapidly into new asset classes.

The Role

This is a pivotal opportunity to own and evolve the company's core ML pricing model, the system that drives every transaction, cash advance, and asset valuation. You'll lead the end-to-end ML lifecycle, from data engineering and experimentation to scalable deployment and optimization.

You'll partner with quantitative analysts and domain experts to continuously improve the accuracy, speed, and cost-efficiency of the pricing and underwriting systems.

What You'll Do

Lead design, training, deployment, and optimization of large-scale ML pricing models.

Build and maintain the ML infrastructure using AWS, Docker, and Airflow.

Collaborate with pricing domain experts to engineer new features and predictive signals.

Run experiments and backtests to validate feature impact and improve model precision.

Manage model performance, optimize costs, and scale APIs for real-time workloads.

Drive technical direction and mentorship for future ML hires.

What You'll Bring

10+ years of total software experience, including 45 years focused on ML.

Expert in Python, scikit-learn, XGBoost, and pandas.

Proven MLOps experience (AWS, ECS, Docker, Airflow).

Strong understanding of model deployment, feature engineering, and experimentation.

Experience in pricing, risk modeling, or underwriting a strong plus.

Passion for alternative assets, trading, or collectibles.

Why Join

Shape the foundation of an ML-first company in hypergrowth.

Own a mission-critical product that powers every transaction.

Work remotely with a sharp, driven team backed by leading investors.

Competitive salary, equity, and direct impact on business outcomes.

Interview Process

Hiring Manager Intro (45 min)

System Design Screen (1 hr)

Take-Home Challenge (2 hrs)

Panel Interview (2.5 hrs)

Final Chat with CEO

Originally posted on Himalayas