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Programme
Internship
Location
Hong Kong
Duration
10 weeks
About the role
This 10-week internship offers students hands-on machine learning engineering work across training, inference, deployment, and market-data infrastructure. Interns apply software engineering to Susqueanna’s research and trading systems, receive mentorship and education, and successful interns receive full-time placement in Hong Kong after graduating by August 2028.
Responsibilities
- Build and optimize distributed training pipelines running across GPU infrastructure, including systems for large models.
- Improve inference and deployment for production trading systems, focusing on latency, throughput, and model costs.
- Develop data infrastructure for ingesting, storing, and transforming large, noisy market datasets.
- Profile and benchmark machine learning workloads to improve performance and efficiency.
- Contribute to internal libraries and open-source tools used by researchers and engineering teams.
Internship Experience
- Work on high-impact projects reflecting the challenges and workflows of the full-time engineering team.
- Collaborate within small engineering teams where ideas are openly debated and validated work reaches production quickly.
- Participate in a U.S.-based internship, with full-time placement in the Hong Kong office upon graduation.
- Visa sponsorship is available for this position.
Mentorship And Training
- Receive one-on-one mentorship from experienced engineers and researchers throughout the internship.
- Participate in a comprehensive education program covering machine learning, quantitative methods, and trading practices.
- No prior finance background is required.