AI Research Engineer - Quant Finance, Low-Latency ML
Listed on 2026-10-01
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
P2P is seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems for quantitative finance. You’ll optimize training pipelines, develop low-latency inference, and push AI research from concept to production.
Proficiency in Python and/or C++, experience with PyTorch/JAX/Tensor Flow, and GPU programming (CUDA/Triton/SYCL/ROCm) are essential. CPT/OPT eligible; base salary is $300,000 per year.
We would love to welcome a new AI Research Engineer
- Quant Finance, Low-Latency ML to our team in New York, NY, United States.
Full responsibilities and requirements are described in the listing above.
Learn more about the AI Research Engineer
- Quant Finance, Low-Latency ML role in the description above.
We appreciate your interest in this position.
Join P2P and contribute to our ongoing work.
Take a moment to read everything above and see whether this role is right for you.
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