Job Description
Join QuantumLeap Labs at the forefront of AI innovation as we shape the technological landscape of 2026. We seek visionary AI Research Scientists to pioneer breakthroughs in machine learning, neural networks, and quantum computing integration. Collaborate with world-class experts in our state-of-the-art San Francisco hub, where your work will directly influence next-generation AI systems. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier venues.
Responsibilities
- Lead cutting-edge research in generative AI, multimodal systems, and autonomous decision-making frameworks
- Develop novel algorithms to optimize computational efficiency in quantum-AI hybrid models
- Architect scalable AI solutions for real-world applications in healthcare, climate science, and logistics
- Publish peer-reviewed research in top-tier conferences (NeurIPS, ICML, CVPR)
- Mentor junior researchers and contribute to open-source AI initiatives
- Collaborate with engineering teams to translate research prototypes into production-ready systems
Qualifications
- PhD in Computer Science, AI, Machine Learning, or related field with 3+ years industry experience
- Proven track record of publications at top-tier AI conferences (NeurIPS, ICML, etc.)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing APIs
- Strong background in NLP, computer vision, or reinforcement learning
- Proficiency in high-performance computing environments and distributed training
- Experience with MLOps pipelines and model deployment at scale