Intern - Quantum Machine Learning

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About the Role:
We are seeking a highly motivated intern to join our Quantum Machine Learning (QML) Research team. This role is ideal for someone with a strong foundation in quantum computing and machine learning who is eager to explore the intersection of the two. You'll work on cutting-edge research and development projects, contributing to the advancement of hybrid quantum-classical models and algorithms.
Key Responsibilities:

• Conduct research on quantum machine learning algorithms (e.g., VQAs, QNNs, quantum kernel methods).

• Design and simulate quantum circuits using platforms like Qiskit, PennyLane, or Cirq.

• Explore hybrid quantum-classical pipelines for ML tasks such as classification, regression, and generative modeling.

• Collaborate with research scientists and engineers to implement proof-of-concept models.

• Present findings in internal meetings and contribute to technical documentation or publications.

Required Qualifications:

• Pursuing (or recently completed) a degree in Computer Science, Physics, Mathematics, Electrical Engineering, or related fields.

• Strong understanding of quantum computing principles (e.g., superposition, entanglement, quantum gates).

• Experience with quantum simulators and cloud-based quantum platforms (IBM Quantum, AWS Braket, Xanadu, etc.).

• Prior research or projects in QML or quantum information science.

• Familiarity with ML concepts including neural networks, optimization, and linear algebra.

• Experience with Python and libraries such as NumPy, PyTorch/TensorFlow.

• Exposure to quantum SDKs like Qiskit, PennyLane, or Cirq.

• Strong analytical thinking and ability to work independently.

• Enthusiasm for exploring deep tech and solving complex problems.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world

• Be a leader of an energetic team of highly dynamic and talented individuals

• Exposure to working with fortune 500 companies and innovative market disruptors

• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud