Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution. We're pioneering quantum neural networks and autonomous systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough algorithms in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry visionaries. Enjoy competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements while shaping the technologies that will power the next decade.
Responsibilities
- Develop novel quantum-inspired AI algorithms for next-generation autonomous systems
- Lead research in unsupervised learning architectures for edge computing environments
- Collaborate with robotics teams to integrate adaptive neural networks into physical systems
- Publish findings in top-tier journals (Nature, Science, NeurIPS) and secure patents
- Mentor PhD interns and cross-functional engineering teams
- Secure $2M+ annual research grants through federal and private partnerships
- Present breakthroughs at global tech summits (World Economic Forum, CES 2026)
Qualifications
- PhD in Machine Learning, Quantum Computing, or Computational Neuroscience
- 5+ years of industry experience in AI research with 3+ publications in top-tier venues
- Expertise in PyTorch/TensorFlow and quantum programming frameworks (Qiskit, Cirq)
- Proven track record of deploying ML models in edge computing environments
- Strong background in reinforcement learning and generative adversarial networks
- Experience securing SBIR grants or similar research funding mechanisms
- Portfolio demonstrating algorithmic innovations with measurable impact