Job Description
Shape the future at QuantumLeap Labs, where we're engineering the AI landscape of 2026. We seek a visionary AI Research Scientist to pioneer breakthroughs in generative AI and neural networks. Join our elite team in San Francisco to build systems that will redefine human-machine interaction.
In this role, you'll collaborate with Nobel laureates and industry pioneers to develop next-generation AI architectures. We offer unparalleled resources, including access to our quantum computing cluster and petabyte-scale datasets. Your work will directly impact how billions interact with technology tomorrow.
What We Offer:
- Equity in a pre-IPO AI unicorn
- $50k annual learning stipend
- Flexible remote-first hybrid model
- State-of-the-art lab facilities
Responsibilities
- Design and implement novel neural network architectures for 2026-era applications
- Lead cross-functional teams to deploy AI solutions at scale
- Publish research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Develop ethical AI frameworks aligned with future regulatory landscapes
- Mentor PhD researchers and contribute to open-source AI initiatives
- Optimize models for quantum computing environments
- Collaborate with futurists to define 10-year AI roadmaps
Qualifications
- PhD in Computer Science, Mathematics, or Physics (or equivalent research experience)
- 5+ years in AI research with peer-reviewed publications
- Expertise in transformers, diffusion models, and multimodal AI
- Proficiency in Python, PyTorch, and TensorFlow
- Experience with quantum machine learning frameworks
- Strong background in computational complexity theory
- Demonstrated ability to lead high-impact research projects