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).