Machine Learning Engineer, Cube
AI-driven regulatory intelligence platform
Open for applications
AI-driven regulatory intelligence platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To empower every regulated firm with the business intelligence to meet complex compliance challenges.
Role
Who you are
- Experience matters. But what is more important than raw number of years of experience is demonstrated proficiency (through GitHub profiles/online portfolios and the interview process itself). Bonus points for Stack Overflow and Kaggle contributions!
- Experience analyzing large volumes of textual data (almost all of our use cases will involve NLP)
- Ability to write clear, robust, and testable code, especially in Python
- Familiarity with SQL and NoSQL/graph databases
- Extensive experience with ML & DL platforms, frameworks, and libraries
- Extensive experience with end-to-end model design and deployment within cloud environments
- A systems thinking approach, with passion for MLOps best practises
- An engineer that can think in O(n) as much as plan the orchestration of their product
- Solid understanding of data structures, data modelling, and software architecture, especially cloud-based
- An engineer that can keep up with mathematically and statistically-oriented colleagues
- A healthy sense of humour
- If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply
What the job involves
- Participate in the continuous improvement of RegBrain’s products
- Develop advanced NLP and AI-based products that will delight users
- Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development
- Expand of the Team’s knowledge via demonstration and documentation
- As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for CUBE’s products - a SaaS Platform (RegPlatform) and an API (RegConnect)
- Develop optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches, wherever appropriate
- Produce high quality, modular code, and deploy following our established DevOps CI/CD and best practices
- Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing)
- Stay up-to-date with ML & NLP research, and experiment with new models and techniques
- Perform code-reviews for your colleague’s code. Engage with them to raise standards of Software engineering
- Propose cloud architectures for ML-based products that need new infrastructure
- Participate in the monitoring and continuous improvement of existing ML systems
Application process
- Please submit your resume detailing your relevant experience and interest in CUBE.
Salary benchmarks
Our take
After the 2008 financial crash, new compliance rules and regulations swept the financial industry. Now, with the emergence of crypto technology and blockchain, regulations are evolving once again. CUBE was founded in 2011 as a RegTech company powered by AI, that delivers regulatory monitoring, reporting, and compliance within the financial industry.
CUBE’s intelligence solution helps enterprises solve complex compliance problems for both multijurisdictional needs and more specific single lines of business. Its platform tracks, analyses and monitors laws, rules and regulations in every country and language, enabling it to serve clients across the globe.
Winner of multiple awards, CUBE has a proven track record of navigating the increasingly complex compliance issues of international financial markets. In 2024 it acquired competitor Reg Room, exemplifying its strong hold on the market. It also has solid funding behind it and a growing global presence - which certainly bodes well for its future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Mar 2024
$13.1m
GROWTH EQUITY VC
Total funding: $13.1m
Company HQ
City of London, London, UK
Leadership
Ben Richmond
(Founder & CEO)Also Chief Executive of IRTA (International RegTech Association), and Founder and Chairman of The Content Group.
Share this job
View 12 more jobs at Cube