About the Company:

Liquidity is the leading AI-driven private credit firm globally. With multiple credit funds and facilities focused on North America, Asia-Pacific, Europe and the Middle East, Liquidity operates globally, with offices in London, New York, Singapore, Tel-Aviv, Abu Dhabi and San Francisco.

The firm's patented machine learning and decision science technology enables it to deploy more capital through more deals faster than any firm in capital markets history, establishing it as the fastest-growing provider of credit financing to mid-market and late-stage companies. Liquidity is backed by leading global financial institutions including Japan's largest bank, MUFG Bank Ltd., Spark Capital and KeyBank.

At Liquidity, we foster a dynamic, high-performance environment where innovation and excellence are the standard. Our open-door culture encourages collaboration and initiative, while our rapid growth creates exceptional opportunities for professional development. We are seeking ambitious and driven individuals who want to be part of a firm that is reshaping the future of global private credit.

About the Role:

We are looking for a Machine Learning Engineer to join our team. You will be integral to the data science feature development process, working with data engineering. You will design machine learning pipelines, apply algorithms to generate predictions, tackle data set challenges, and develop, real-time corporate credit score platform. This isn't just another job; you'll be a key part of an exciting, experienced team in a fast-paced environment. This position does not involve managerial duties but rather entails leading technically.

Responsibilities:

• Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
• Build forecasting/prediction models from scratch (POC) to production-ready.
• Work closely in aligning the product, research, and development teams in crafting the product, increasing product effectiveness.
• Collaborative mindset to improve the AI team, communicate with stakeholders, and shape research vision.
• Take a critical role in the research process for finding the best market solutions for defined business problems.

Qualifications:

• 5+ years of experience as a Senior Software Engineer (ML), Machine Learning Engineer or in a similar role.
• 2+ years of hands-on experience in engineering with Python.
• Strong analytical and problem-solving skills to navigate the complexities of AI and LLM integration.
• Experience with ML pipelines.
• Experience with scientific libraries.
• Experience writing SQL complex queries (aggregations, analysis, etc.).
• Degree in Computer Science, Physics, Mathematics, or equivalent experience.
• Profound analytical skills.
• Extensive background in statistical analysis.