Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking an innovative AI Research Scientist to pioneer breakthroughs in quantum machine learning and neural architecture optimization. Shape the future of artificial intelligence while working in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. This role offers unparalleled opportunities to publish groundbreaking research and influence global AI policy.
Responsibilities
- Design and implement novel quantum neural network algorithms for 2026-era computing architectures
- Lead cross-functional research initiatives in explainable AI and ethical machine learning frameworks
- Develop scalable solutions for real-time inference optimization in edge-computing environments
- Collaborate with hardware engineers to co-design AI-accelerated quantum processors
- Publish high-impact research in top-tier AI/ML conferences and journals
- Mentor junior researchers and drive technical innovation through hackathons and prototyping sprints
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Computing with 3+ years industry experience
- Expertise in transformer architectures, federated learning, and quantum circuit design
- Proven track record of publishing at NeurIPS, ICML, or equivalent tier-1 venues
- Proficiency in Python, TensorFlow, PyTorch, and quantum programming frameworks (Qiskit/Cirq)
- Deep understanding of 2026-era hardware constraints (quantum-classical hybrid systems)
- Experience leading open-source AI projects with 10k+ GitHub stars
- Strong background in AI ethics and responsible AI development frameworks