VP, AI Algorithms Research & Large-Scale ML Innovation

JPMorganChase; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase in New York invites applications for a PhD-level researcher to join the Global Technology Applied Research (GTAR) center. You will advance AI/ML foundations, develop scalable algorithms for model training and inference, and help publish impactful results.

The role demands deep theoretical grounding, strong publication records, and the ability to implement performant code in Python/CUDA, collaborating across internal teams to solve challenging problems.

Qualifications

• Ph.D. degree with at least 2 years of experience in AI/ML.
• Demonstrated research ability in AI/ML algorithms, optimization, or theory.
• Proficiency in Python and C/C++ or CUDA for performance-critical work.

Responsibilities

• Advance the algorithmic foundations of large-scale AI and their applications to model training, inference, and agentic systems.
• Develop novel algorithms that improve accuracy, latency, and compute cost of large language model workloads.
• Establish theoretical grounding, including convergence and sample- and compute-efficiency.
• Implement developed algorithms in performant software and validate them at scale.
• Document findings in scientific papers and present at conferences.
• Contribute to JPMorganChase IP protections for generated IP.

Skills

AI/ML research

Optimization

Learning theory

Python

C/C++/CUDA

Experimentation

Communication

Education

Ph.D. in CS/Math/Physics/Engineering

Tools

CUDA

Nsight

Job description

JPMorganChase in New York invites applications for a PhD-level researcher to join the Global Technology Applied Research (GTAR) center. You will advance AI/ML foundations, develop scalable algorithms for model training and inference, and help publish impactful results.

The role demands deep theoretical grounding, strong publication records, and the ability to implement performant code in Python/CUDA, collaborating across internal teams to solve challenging problems.