Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking an AI Research Scientist to pioneer breakthroughs in quantum-entangled neural networks and autonomous systems. As a key innovator in our Austin R&D hub, you'll collaborate with Nobel laureates and industry disruptors to shape humanity's digital future. Enjoy cutting-edge resources, flexible hybrid work, and equity in a company valued at $2B+. Your work will directly impact climate modeling, personalized medicine, and sustainable energy solutions.
Why QuantumLeap? We're not just building technology—we're architecting tomorrow. Our culture thrives on audacious thinking, rapid experimentation, and ethical innovation. Austin's vibrant tech ecosystem, coupled with our state-of-the-art research facilities, creates the perfect incubator for transformative ideas.
Responsibilities
- Lead research on quantum-enhanced machine learning architectures for 2026's AI landscape
- Develop novel algorithms for autonomous decision-making systems with ethical guardrails
- Collaborate with cross-functional teams to prototype and deploy AI solutions in healthcare and energy sectors
- Publish breakthrough research in top-tier journals and present at global tech conferences
- Mentor junior researchers and foster a culture of scientific excellence
- Secure federal grants and partnerships with leading academic institutions
Qualifications
- PhD in Computer Science, AI, Quantum Computing, or related field (or equivalent experience)
- 5+ years of research experience in deep learning, reinforcement learning, or quantum computing
- Published work at NeurIPS, ICML, or Nature Quantum Information
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Proven track record of translating research into scalable commercial applications
- Strong background in ethical AI development and responsible innovation
- Experience with high-performance computing and distributed training systems