Machine Learning Engineer

Baselayer is built by financial institutions, for financial institutions. Started in 2023 by experienced founders, Baselayer works with banks, Fortune 500 tech cos, fintechs, and AI experts to revolutionize fraud prevention and compliance. Baselayer has raised funding and earned notable ARR as part of its growth narrative.

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 aiming 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
• You are a problem-solver who navigates the unknown confidently
• You are a proactive self-starter who thrives in dynamic settings
• You are highly intelligent and clever, with pride in your models
• You are highly feedback-oriented and value candor to reach the next level

Responsibilities

Salary & Benefits

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

Seniority level

Employment type

Job function

Industries

San Francisco, CA – location details omitted here for refinement; original postings have been removed to keep the description concise and job-focused.

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