Campus AI Research Engineer

Apply advanced techniques to challenging domains, collaborate with researchers and quants on reusable financial AI and machine learning frameworks, optimize training pipelines on high-performance computing resources, integrate low-latency models into production, and build observable, performant large-scale systems using C, C++, Python, CUDA, and related languages.

Responsibilities

• Apply advanced techniques to complex and challenging domains
• Collaborate with researchers and quants to build reusable financial AI and machine learning frameworks
• Optimize training pipelines for high-performance computing resources
• Integrate AI and machine learning models into latency-sensitive production systems
• Develop large-scale AI and machine learning systems
• Reduce research iteration cycle time

Requirements

• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, or similar frameworks
• GPU or accelerator programming experience with CUDA, Triton, SYCL, ROCm, or equivalent
• Experience building AI and machine learning systems at scale
• Experience with large-scale training data and low-latency or high-throughput inference
• Strong written and verbal communication skills in English
• Reliable and predictable availability

Benefits

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer-paid group term life and AD&D insurance
• Voluntary life and AD&D insurance
• Paid vacation and holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness programs