Job Description
Join Quantum Leap Labs at the forefront of technological evolution as we pioneer AI solutions for the 2026 digital frontier. We seek an innovative AI Research Scientist to architect next-generation machine learning models that will redefine industry standards. You'll collaborate with elite engineers in our state-of-the-art San Francisco hub, leveraging cutting-edge infrastructure to solve humanity's most complex challenges.
Responsibilities
- Design and implement advanced neural networks for autonomous systems and predictive analytics
- Lead cross-functional teams in developing AI frameworks for 2026-era applications
- Publish breakthrough research in top-tier AI conferences and journals
- Optimize computational efficiency for quantum-entangled machine learning pipelines
- Drive ethical AI governance and bias mitigation strategies
- Partner with Fortune 500 clients to deploy production-ready AI solutions
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and distributed computing
- Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
- Mastery of Python, C++, and quantum computing programming paradigms
- Experience with large-scale LLM fine-tuning and multimodal architectures
- Strong background in reinforcement learning for autonomous systems