Machine Learning Engineer (Technical Leader)

Liquidity Group is the largest tech-enhanced financial asset management firm in the world. With $2.5B AUM across funds focused on North America, Asia-Pacific, Europe, and the Middle East, Liquidity Group operates globally with offices in Tel-Aviv, Abu Dhabi, New York, London, Singapore, Tokyo, Mumbai, Boston & 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 non-dilutive and equity financing to mid-market and late-stage companies. Liquidity Group is backed by leading global financial institutions including Japan’s largest bank, MUFG, Spark Capital, and Apollo Asset Management.

We are looking for a Machine Learning Engineer to join our team as a Technical Lead. The Technical Lead 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 the first-ever, 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.

You will:

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
Guide the R&D team and product teams

You have:

5+ years of hands-on experience in engineering with Python
Strong analytical and problem-solving skills to navigate the complexities of AI and LLM integration - A must.
Degree in Computer Science, Physics, Mathematics, or equivalent experience
Profound analytical skills and true love for data
PhD/MSc in exact sciences - an advantage

Are you:

A development-oriented mathematician, or a math-oriented engineer
Independent, self-motivated, and auto-didactic with creative and critical thinking capabilities
A team player with excellent communication and collaboration skills

If you are passionate about machine learning and possess strong technical leadership skills, we encourage you to apply for this exciting opportunity. Join us in shaping the future of predictive analytics!

Life at LIQUiDITY

We’re global, in six locations and counting!
We’re direct and friendly – we go by an open door policy
We have set a high bar for our work
We work in an adaptable, dynamic, and fast pace environment
We're growing - and we want you to grow with us
We missed you! We believe in the added value of working in person as we build out our global team