Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As an AI Research Scientist, you'll architect breakthrough solutions in quantum-enhanced machine learning, neural network optimization, and autonomous decision frameworks. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into scalable innovations.
We foster a culture where curiosity meets execution, offering competitive equity, flexible work arrangements, and direct impact on humanity's technological trajectory. Collaborate with Nobel laureates and disrupt industries from healthcare to climate modeling.
Responsibilities
- Design and implement quantum-resistant neural network architectures for 2026-era applications
- Lead cross-functional teams in prototyping AI systems with 10x current efficiency benchmarks
- Develop novel reinforcement learning algorithms for autonomous systems in dynamic environments
- Author breakthrough research papers for top-tier AI/ML conferences (NeurIPS, ICML)
- Translate theoretical models into production-ready solutions with 99.99% reliability
- Mentor junior researchers and drive innovation through internal hackathons
- Secure $5M+ in research grants through compelling technical proposals
Qualifications
- PhD in Computer Science, Mathematics, or Physics with 3+ years of AI research experience
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Proven track record of deploying large-scale ML models (>10B parameters)
- Deep understanding of transformer architectures and optimization techniques
- Experience with distributed computing frameworks (Ray, Horovod)
- Strong background in ethical AI and bias mitigation strategies