About the job
Join CUBE, a pioneering global RegTech firm, as we redefine regulatory intelligence for the financial services sector. Our innovative SaaS solutions, empowered by artificial intelligence, simplify the intricate landscape of compliance for our clients.
Why Choose CUBE?
CUBE stands as a globally recognized leader in Regulatory Technology, with our industry-defining SaaS products trusted by top financial institutions worldwide.
In 2024, we celebrated over 50% growth through both organic expansion and strategic acquisitions. Our dynamic, high-performing team thrives on innovation, continuously advancing our products and services. At CUBE, we don’t just adapt; we lead the way.
We believe our future is crafted by ambitious individuals eager to make a significant impact. Our culture promotes a "make it happen" ethos, empowering you to take charge of your career from day one.
With a diverse team of over 700 CUBERs across 19 countries in EMEA, the Americas, and APAC, we operate as a unified force, dedicated to transforming regulatory compliance. Diversity and collaboration are the heart of our success.
As one of the pioneers in leveraging AI for regulatory intelligence, CUBE continues to lead with groundbreaking technology. You’ll collaborate with some of the brightest minds in AI research and engineering to create solutions that are reshaping regulatory compliance.
Role Overview
In the role of AI Engineer, you will spearhead the development and enhancement of our AI/ML-driven products, including recommender systems, NLP solutions, and LLM-based features. Your objective is to deliver sophisticated, production-ready ML solutions that provide exceptional user experiences while excelling in cloud-based ML engineering.
Key Responsibilities
Design, refine, and deploy AI/ML and LLM-based features for our internal and external platforms to tackle challenges such as:
High cardinality hierarchical classifications
Personalized content filtering of legal documents
Utilizing ML/LLMs for large-scale integration of heterogeneous text data

