Machine Learning Engineer Engineering San Francisco

With experience across far-ranging banks, Fortune 500 tech co’s, fintech unicorns , and AI experts, Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders Jonathan Awad and Timothy Hyde, Baselayer has raised $20 Million and hit $2 Million in ARR faster than any other identity company in history. Today more than 2,000 Financial Institutions and Government Agency customers later, Baselayer is revolutionizing the way businesses approach fraud prevention and compliance.

About You

You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You\'re not just doing it for the win—you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.

• You have 1-3 years of experience in machine learning development, working with Python and building ML models
• You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems
• You have a strong foundation in AI / ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques
• You prioritize responsible AI practices and model governance, especially in regulated environments like KYC / KYB
• You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance
• You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction
• Problem-solver who navigates the unknown confidently
• Proactive self-starter who thrives in dynamic settings
• Incredibly intelligent and clever. You take pride in your models
• Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level

Responsibilities

Salary

Salary Range : $150k – $225k + Equity - 0.05% – 0.25%

#J-18808-Ljbffr