Job Description
Shape the future of artificial intelligence with QuantumLeap Labs. We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will define 2026 and beyond. Join our elite team at the intersection of quantum computing and neural networks, where you'll develop next-generation AI systems that solve humanity's greatest challenges.
As a key member of our R&D division, you'll collaborate with Nobel laureates and industry disruptors to create novel algorithms that push the boundaries of machine learning. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources, including access to quantum processors and petabyte-scale datasets. This is your opportunity to leave an indelible mark on the AI landscape while enjoying industry-leading compensation and benefits.
Responsibilities
- Design and implement cutting-edge AI algorithms for quantum-enhanced neural networks
- Lead research initiatives in explainable AI and ethical machine learning frameworks
- Develop novel approaches to unsupervised learning and generative AI models
- Collaborate with hardware engineers to optimize AI-quantum computing integration
- Publish breakthrough research in top-tier journals (Nature, Science, NeurIPS)
- Mentor junior researchers and drive cross-functional innovation workshops
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Computer Science, AI, Quantum Computing, or related field (required)
- 5+ years of research experience with peer-reviewed publications in AI/ML
- Expertise in PyTorch/TensorFlow and quantum programming languages (Qiskit, Cirq)
- Proven track record of developing novel ML algorithms with real-world impact
- Deep understanding of quantum machine learning principles and architectures
- Exceptional problem-solving skills for complex, multi-disciplinary challenges
- Strong background in ethical AI frameworks and responsible innovation
- Experience securing government or corporate research funding ($500K+)