Intern - Quantum Machine Learning
US MA Boston, United States
Quantiphi
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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Tags: AWS Classification Computer Science Engineering Excel Generative modeling Linear algebra Machine Learning Mathematics NumPy Physics Pipelines Python PyTorch Research TensorFlow
Perks/benefits: Career development
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