Machine Learning Jobs at FalconX

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