Note: The job is a remote job and is open to candidates in USA. The client is a profitable, fast-growing stealth quantitative trading firm combining market-making expertise with artificial intelligence and machine learning. The Machine Learning Engineer will integrate cutting-edge AI and ML capabilities into the firm’s core architecture and help build scalable quantitative trading systems.
Responsibilities
- Software Engineers: Focused on building high-volume, low-latency trading infrastructure and developing advanced, robust data pipelines
- Quantitative Developers: Tasked with bridging the gap between research and engineering, translating advanced models into high-performance production code
- AI & Machine Learning Engineers: Bringing strong backgrounds from top frontier AI labs to integrate cutting-edge artificial intelligence and machine learning capabilities directly into the firm's core architecture
- Quantitative Researchers: Dedicated to driving the rigorous mathematical research, statistical modeling, and machine learning behind their trading strategies
Skills
- AI & Machine Learning Engineers: Bringing strong backgrounds from top frontier AI labs to integrate cutting-edge artificial intelligence and machine learning capabilities directly into the firm's core architecture
Benefits
- Equity
- Fully remote
Company Overview