Senior Quantum Machine Learning Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Quantum Machine Learning Scientist (QML): Lead original research in quantum machine learning, quantum algorithms, and hybrid quantum-classical methods with an accent on novel architectures, theoretical viability, and scalability for near-term quantum hardware. Focus on designing variational models and quantum transformers, prototyping executable workflows, and providing strategic technical guidance to align research with company goals.
Location: Fully remote with option to work in-person in Maryland. Assistance moving to Maryland if desired.
Company
Capital-constrained early-stage startup focused on quantum machine learning research and development.
What you will do
- Lead research in quantum machine learning, identifying novel directions and assessing viability.
- Design and evaluate state-of-the-art quantum and hybrid models, establishing best practices for benchmarking.
- Implement and prototype models using quantum software stacks, ensuring compatibility with NISQ hardware.
- Provide strategic technical guidance on product and research decisions, challenging flawed approaches.
- Lead grant proposals, identify patentable ideas, and engage with external partners for publications.
Requirements
- PhD (or equivalent) in physics, computer science, mathematics, or related field.
- Deep expertise in machine learning and quantum computing with demonstrated research track record.
- 6+ years machine learning experience; 5+ years quantum algorithm implementation.
- Experience designing novel algorithms/architectures, strong theory-practice intuition, and intellectual independence.
Nice to have
- Prior grant writing, funded research, or patents.
- Startup experience, quantum simulation, error correction, or strong abstract math background (e.g., Lie theory).
Culture & Benefits
- Full healthcare coverage + 90% for dependents, including dental and vision.
- Mix of salary and equity as early employee in capital-constrained startup.
- Significant influence as technical leader shaping research direction.
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