FalconX is the most advanced digital asset platform for institutions. We provide trade execution, credit & treasury management, prime offering and market making services. Given our global operations, industry-leading technology and deep liquidity, we have facilitated client transactions of $1 trillion in volume. Our products & services are regulated, compliant and trusted.

We are a team of engineers, product builders, institutional sales and trading leaders, operations experts, and business strategists. Our teammates have entrepreneurial experience and come from companies such as Google, Apple, Paypal, Citadel, Bridgewater, and Goldman Sachs. And, we embody our values: Think big; Drive bold outcomes; Be one team; Iterate with speed; and be an entrepreneur.

We prioritize learning. Outcomes are mission-critical, but we also believe that learning in success and in failure will drive our continued success. Our industry is emergent - there’s no shortage of experiments to get involved with and to continue growing and learning together.

Impact :

At FalconX, you’ll help create a more open financial system. In building trading, credit and custody infrastructure, we are enabling thousands more institutions to enter the market and support a more open and accessible financial system. The world’s largest financial institutions from Wall Street to Silicon Valley will turn to you for products that provide unparalleled seamless, efficient and secure access to the cryptocurrency sector.

FalconX is hiring a Machine Learning Engineer focused on our core platform stack to help introduce a new, in-demand product line for the company that integrates seamlessly with our proprietary, best-in-class Prime Brokerage platform. We are looking for an experienced Software Engineer with a background in building scalable, distributed systems as well as a strong understanding of blockchain, wallets, and platforms to build upon our vision of an open financial system.

Responsibilities:

Hands-on Model Development and Optimisation: Actively participate in designing, developing, and optimizing the Large Language Model (LLM) to work efficiently for financial use cases, with a hands-on approach to fine-tuning the model for domain-specific terminology and context.
Prompt Engineering: Leverage prompt engineering techniques to guide the LLM to produce desired responses. This includes crafting effective prompts and iteratively refining them based on the model's performance.
Stay Up-to-date with Industry Trends: Keep up-to-date with the latest trends and advancements in AI, machine learning, and prompt engineering, particularly in relation to the financial industry, to ensure the product remains competitive and cutting-edge.
Collaborative Engineering: Work closely with product managers and other relevant teams in a hands-on capacity to understand product requirements and customer needs, incorporating this feedback directly into model development and prompt engineering.

Qualifications:

Bachelors or Masters degree in computer science
Minimum 3 years of work experience
Strong pedigree
Experience in LLM or Natural Language Processing

Apply now

See more open positions at FalconX

Privacy policy Cookie policy