updated 1 month ago
Campus AI Research Engineer (Fintech)
250 000 - 300 000$
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Job description
Text:
TL;DR
Campus AI Research Engineer (Fintech): Building and optimizing state-of-the-art ML systems for quantitative finance with an accent on high-performance computing and low-latency inference. Focus on developing scalable AI frameworks, optimizing training pipelines, and integrating complex models into production trading environments.
Location: Must be based in Chicago or New York
Salary: $250,000 – $300,000 per year
Company
is a global quantitative research and trading firm that leverages advanced statistical analysis and cutting-edge technology to solve complex problems in financial markets.
What you will do
- Apply state-of-the-art AI/ML techniques to complex financial domains.
- Collaborate with researchers and quants to build flexible, reusable AI/ML frameworks.
- Optimize training pipelines to maximize the efficiency of HPC resources.
- Integrate models into production systems with strict latency requirements.
- Develop large-scale systems using C, C++, Python, and GPU-accelerated languages.
- Improve research productivity by reducing iteration cycle times.
Requirements
- Proficiency in Python and/or C++
- Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm)
- Experience with ML frameworks like PyTorch, JAX, or TensorFlow.
- Experience building AI/ML systems at scale with large datasets.
- Excellent written and verbal communication skills in English
- Must be eligible for CPT/OPT or require work visa sponsorship
Culture & Benefits
- Collaborative, team-oriented environment focused on innovation and scientific boundaries.
- Opportunity to work on impactful projects in a fast-paced quantitative finance setting.
- Support for international students including CPT/OPT and visa sponsorship.
- Exposure to large-scale systems and high-performance computing infrastructure.
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