Machine Learning Platform Engineer

Company Description

Astral Quant, founded in 2024, specializes in quantitative research and technology with a strong focus on the Chinese financial markets. Committed to delivering consistent and balanced alpha returns for investors, the company leverages expertise in research, risk management systems, and IT infrastructure.

The team is comprised of professionals from leading global universities and top-tier quantitative institutions, bringing deep knowledge in both finance and cutting-edge technology. Astral Quant provides opportunities to work in a dynamic and innovative environment that values excellence.

Role Description

• Own and scale data workflows, feature pipelines, and ML infrastructure.
• Build reproducible, observable, and resumable systems for large-scale jobs.
• Integrate research infrastructure with our trading stack for consistency.
• Collaborate to expand compute, storage, and platform capabilities.

Qualifications

• Mid-level or senior experience in data/ML infrastructure or platform engineering.
• Strong Python experience; C++ a plus.
• Cloud and distributed computing experience for scalable, reliable systems.
• Previous trading or quantitative finance experience desirable but not required.