Staff/Principal ML Engineer

  • -
  • Transparent Search Group
  • Full-Time
  • Remote
  • 240,000-270,000 USD / Year

Job Description:

⚡ Staff / Principal ML Engineer — Build the Pricing Brain Powering a New Asset Class


Full-Time | Remote (North America) | $240K–$270K + Equity


About the Opportunity


Join a venture-backed fintech that’s quietly building the operating system for alternative assets.

We’re not just running models — we’re redefining how billions in collectible value are priced, traded, and financed. Our platform already powers real-time valuations and lending decisions for high-end collectibles across North America. The next chapter? Scaling that intelligence to every alternative asset category that follows.


This is your chance to own the core pricing engine behind a new financial ecosystem — and build something with real permanence.


Why This Role Matters


This isn’t another data-science seat. It’s the position that connects our valuation logic, underwriting, and product decisions.

Your models don’t sit in dashboards — they run the business. Every trade, every loan, every risk decision relies on your systems.


If you’ve ever wanted to point to a product and say, “That exists because of the system I built,” — this is that moment.


What You’ll Own


Lead design, training, deployment, and continuous improvement of our real-time pricing model.


Architect a scalable ML infrastructure with AWS, Docker, ECS, and Airflow, optimized for both accuracy and cost efficiency.


Collaborate with internal pricing specialists to translate trading insights into predictive features.


Conduct experiments, backtests, and model iterations that directly influence business KPIs.


Be the technical voice that bridges model performance and commercial outcomes — with freedom to innovate fast.


What You’ll Bring


10+ years in engineering, with 4–5+ years in applied ML.


Deep mastery of Python, scikit-learn, XGBoost, and pandas.


Proven experience with MLOps (AWS, Docker, ECS, Airflow, or similar).


Strong background in model deployment, feature generation, and experimentation.


Experience with pricing, risk modelling, or marketplace products is a strong plus.


A builder’s mentality — pragmatic, curious, and ready to ship meaningful work.


Why You’ll Love It Here


🧠 You’ll own the system. This isn’t just maintaining; it’s building the core of the company's brain.


💸 You’ll be rewarded like an owner. Competitive base salary plus meaningful equity.


🚀 You’ll have leverage. Everything you ship directly drives business growth.


🌎 You’ll work with world-class backers. Funded by leaders from top fintechs, tech founders, and pro athletes.


🕹️ You’ll work where you want. 100% remote across North America.


Interview Process


Intro with Hiring Manager (45 min)


System Design Screen (1 hr)


Take-Home Challenge (2 hrs)


Technical & Product Panel (2.5 hrs)


Final Chat with CEO