JPMorgan Quantum-Inspired - Summer Analyst 

United States, New York, New York 

637441355

Job Responsibilities:

• Solve problems innovatively with a passion for advancing the state of the art of quantum-inspired algorithms.
• Advance the field of quantum-inspired and randomized algorithms and their applications to optimization, machine learning and financial use cases.
• Implement the developed algorithms in performant software.
• Contribute to JPMC’s IP by pursuing necessary protections of generated IP.

Required qualifications, capabilities, and skills

• 1+ years of experience with quantum-inspired algorithms. Enrolled in Bachelor’s program in math, science, engineering, computer science or related fields.
• Demonstrated research ability in quantum-inspired algorithms or related fields
• Experience in scientific technical writing.
• Proficiency in Python or C/C++.
• Experience developing performant codes.
• Strong communication skills and the ability to present findings to a non-technical audience.

Preferred qualifications, capabilities, and skills

• Experience in Randomized algorithms for big-data matrix operations for machine learning (e.g., matrix sketching techniques of least-square regression, locality sensitive hashing techniques for clustering etc).
• Experience in Randomized algorithms for accelerating optimization (e.g., randomized stochastic gradient descent methods).
• Experience in Tensor networks for machine learning and discrete optimization.
• Experience in Marko Chain Monte Carlo or Path Integral Monte-Carlo techniques for discrete Ising solver type optimization
• Experience in accelerating continuous optimization using Nesterov or related acceleration techniques.
• Experience in High-performance computing (e.g., MPI, experience running computational tasks on 100+ nodes).