Job Description
Join Quantum Leap Labs at the forefront of artificial intelligence evolution as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in quantum machine learning and autonomous systems. This role offers unparalleled opportunity to work with cutting-edge hardware in our state-of-the-art San Francisco facility, where your innovations will directly impact global industries.
Our collaborative environment fosters cross-disciplinary innovation, pairing you with Nobel laureates and industry pioneers. You'll develop transformative AI solutions while enjoying competitive benefits including equity, unlimited PTO, and wellness stipends. This is your chance to define the next decade of human-AI collaboration.
Responsibilities
- Design and implement novel quantum neural network architectures for 2026-era computational challenges
- Lead research initiatives in explainable AI and ethical autonomous decision-making frameworks
- Develop predictive models for climate change mitigation and sustainable resource optimization
- Collaborate with hardware teams to co-design next-generation AI-accelerated processors
- Publish findings in top-tier journals and present at global AI symposiums
- Mentor junior researchers and foster cross-functional innovation across engineering teams
- Secure patents for breakthrough AI methodologies with commercial applications
Qualifications
- PhD in Computer Science, Quantum Computing, or related field with 5+ years industry experience
- Proven expertise in quantum machine learning algorithms and tensor network computations
- Publication record in NeurIPS, ICML, or equivalent tier-1 AI conferences
- Mastery of Python, TensorFlow Quantum, and distributed ML frameworks
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience leading research teams with measurable impact on product development
- Strong background in AI ethics frameworks and responsible AI implementation
- Ability to translate complex research concepts into commercial applications