Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computing. As an AI Research Scientist, you'll architect next-generation neural networks and collaborate with Nobel laureates to solve humanity's grandest challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources, including quantum annealers and petabyte-scale datasets. Work in an environment where your breakthrough could power the next generation of autonomous systems, climate models, or medical diagnostics.
Responsibilities
- Design and implement cutting-edge AI algorithms leveraging quantum computing principles
- Lead research initiatives in quantum machine learning and neuromorphic computing
- Develop novel architectures for energy-efficient neural networks
- Collaborate with cross-functional teams to prototype AI-quantum hybrid solutions
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive innovation through hackathons
- Secure patents for breakthrough AI methodologies
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years' research experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record publishing in Nature/Science or top-tier ML conferences
- Mastery of Python, TensorFlow/PyTorch, and quantum programming languages
- Experience with large-scale distributed computing (Kubernetes, Spark)
- Demonstrated ability to translate theoretical research into practical applications
- Strong background in at least one specialized area: NLP, computer vision, or reinforcement learning