Campus AI Research Engineer (Full-Time)

P2P; New York (NY); On-site; USD 255,000 - 345,000; Full time

Job summary

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/TensorFlow, and GPU programming (CUDA/Triton/SYCL/ROCm) are essential. CPT/OPT eligible; base salary is $300,000 per year.

Qualifications

• Proven ability to build and deploy ML systems at scale.
• Strong programming skills in Python and C++.
• Experience with PyTorch, JAX, or TensorFlow.
• GPU/accelerator programming experience with CUDA or similar.

Responsibilities

• Apply state-of-the-art ML techniques to complex domains.
• Collaborate with researchers and quants to build reusable AI/ML frameworks.
• Optimize training pipelines for HPC resources.
• Integrate AI/ML models into latency-sensitive production systems.
• Work across Python/C++/CUDA and other low-level GPU languages.
• Build observable, high-performance AI/ML systems.
• Other duties as assigned.

Skills

Python

C++

GPU programming

ML systems at scale

English communication

Collaborative work

Tools

PyTorch

JAX

TensorFlow

CUDA

Triton

SYCL

ROCm

Job description

We are seeking world‑class engineers to collaborate with our research, trading, and engineering teams to build state‑of‑the‑art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high‑performance computing clusters, developing low‑latency inference systems, or pushing the boundaries of AI research from concept to production, you’ll have the opportunity to work on impactful projects in a fast‑paced, collaborative environment. If you are driven by technical challenges, eager to work with large‑scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.

What You’ll Do

• Apply state‑of‑the‑art techniques to complex and challenging domains.
• Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
• Optimize training pipelines to make the best use of our HPC resources.
• Integrate AI/ML models into production systems where latency matters.
• Work across a mix of programming languages: C / C++ / Python / CUDA and other low‑level GPU languages.
• Build large‑scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
• Other duties as assigned or needed.

Skills You’ll Need

• Creative thinkers who are driven, self‑motivated, and eager to solve challenging problems
• Proficiency in Python and/or C++
• Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
• Ability to thrive in a collaborative, team‑oriented environment
• Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
• Experience building AI/ML systems at scale (hundreds of TBs of training data, low‑latency or high‑throughput inference requirements)
• Excellent written and verbal communication skills in English
• Reliable and predictable availability

International Students are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full‑time positions.

The estimated base salary for this role is $300,000 per year.