Job Description
Join QuantumLeap Labs, a trailblazer in next-generation AI, as we pioneer breakthroughs that redefine human-machine collaboration. As an AI Research Scientist, you'll architect neural architectures that push the boundaries of generative intelligence, ethical AI, and quantum-optimized machine learning. Our state-of-the-art lab in San Francisco fosters interdisciplinary innovation where your research will directly shape the AI landscape of 2026 and beyond. We offer competitive equity packages, flexible work arrangements, and access to cutting-edge computational resources.
Responsibilities
- Design and implement novel neural network architectures for generative AI and multimodal systems
- Lead research on quantum-enhanced machine learning algorithms and hybrid AI models
- Develop ethical AI frameworks ensuring bias mitigation and transparency in autonomous systems
- Collaborate with cross-functional teams to integrate research breakthroughs into production platforms
- Publish findings in top-tier conferences (NeurIPS, ICML, CVPR) and secure patents
- Mentor junior researchers and drive strategic research initiatives aligned with 2026 AI trends
- Optimize models for edge computing and real-time inference in distributed environments
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years of industry research experience
- Expertise in transformer architectures, diffusion models, and reinforcement learning
- Proficiency in Python, PyTorch, TensorFlow, and quantum computing frameworks (Qiskit, Cirq)
- Published record in top-tier AI conferences or journals with 5+ peer-reviewed papers
- Experience with large-scale distributed computing and GPU/TPU optimization
- Strong background in AI ethics, explainable AI (XAI), and responsible ML practices
- Ability to translate complex research into actionable product specifications
- Entrepreneurial mindset with experience in agile research methodologies