Quantum ML Research Scientist (Applied Quantum AI)

CIBC; Toronto; On-site; CAD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Benefits program

Pension plan

Employee share purchase plan

Wellbeing support

Job summary

CIBC in Toronto is seeking a Quantum Machine Learning Research Scientist to drive applied research and design quantum algorithms for banking use cases such as fraud and optimization. You will collaborate with AI researchers, engineers and business stakeholders to translate theory into practical experiments.

The ideal candidate holds a PhD in a relevant field, has hands-on coding with Python, Qiskit, Cirq or Q#, and can communicate complex results to senior leaders while advancing the bank’s

Qualifications

• PhD in physics, CS, mathematics or related field with focus on quantum computing.
• Hands-on experience designing and executing quantum experiments.
• Proficiency in programming and quantum SDKs (Python, Qiskit, Cirq, Ocean, Q#).

Responsibilities

• Design and execute quantum computing experiments and proof-of-concept studies.
• Collaborate with AI researchers, ML engineers, and business stakeholders to translate research into practical use cases.
• Communicate complex quantum concepts clearly to technical and non-technical audiences.

Skills

Quantum computing

Python

Qiskit

Cirq

Q#

Education

PhD in physics/computer science/mathematics

Tools

Qiskit

Cirq

Ocean

Q#

Job description

CIBC in Toronto is seeking a Quantum Machine Learning Research Scientist to drive applied research and design quantum algorithms for banking use cases such as fraud and optimization. You will collaborate with AI researchers, engineers and business stakeholders to translate theory into practical experiments.

The ideal candidate holds a PhD in a relevant field, has hands-on coding with Python, Qiskit, Cirq or Q#, and can communicate complex results to senior leaders while advancing the bank’s