Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we shape the AI landscape of 2026. We're seeking visionary researchers to develop next-generation machine learning solutions that will redefine industries. You'll collaborate with world-class teams in our state-of-the-art San Francisco lab, pushing the boundaries of what's possible in artificial intelligence and computational neuroscience.
This role offers unparalleled opportunities to publish groundbreaking research, patent novel algorithms, and contribute to projects that will impact billions of lives. Our culture combines academic rigor with entrepreneurial drive, offering competitive compensation, comprehensive benefits, and flexible work arrangements.
Responsibilities
- Lead research initiatives in advanced neural networks and quantum-ML hybrid systems
- Design and implement novel AI architectures for autonomous decision-making frameworks
- Collaborate with cross-functional teams to deploy research prototypes into production systems
- Author peer-reviewed publications and present findings at top-tier conferences
- Develop ethical AI frameworks aligned with 2026 regulatory standards
- Mentor junior researchers and foster an innovation-driven lab culture
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years post-grad research experience
- Published record in NeurIPS/ICML/ICLR or equivalent top-tier venues
- Expertise in PyTorch/TensorFlow and distributed ML infrastructure
- Strong background in reinforcement learning and generative models
- Proficiency in C++ and high-performance computing environments
- Experience with quantum computing APIs (Qiskit, Cirq) or willingness to learn
- Demonstrated ability to translate research into scalable commercial solutions