Job Description
Join Quantum Leap Labs at the forefront of technological evolution. We're pioneering 2026-ready AI solutions that redefine human-machine collaboration. As an AI Research Scientist, you'll architect breakthrough models for autonomous systems, predictive analytics, and ethical AI frameworks. Our state-of-the-art lab in San Francisco fosters cross-disciplinary innovation with neuroscientists, robotics engineers, and quantum computing specialists.
Why 2026? This role bridges today's challenges with tomorrow's possibilities. You'll develop algorithms that anticipate societal needs, optimize resource allocation, and enable sustainable tech ecosystems. We offer competitive equity packages, flexible hybrid work, and funding for cutting-edge research publications.
Responsibilities
- Design and implement next-gen ML models for real-time decision-making systems
- Lead research on explainable AI and bias mitigation frameworks
- Collaborate with quantum computing teams to optimize neural network architectures
- Develop predictive models for climate resilience and urban sustainability
- Publish breakthrough research in top-tier AI conferences and journals
- Mentor junior researchers in ethical AI development practices
- Partner with product teams to commercialize research prototypes
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent industry experience)
- 5+ years in applied ML research with peer-reviewed publications
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Strong background in reinforcement learning or generative models
- Experience with quantum computing algorithms (Qiskit/IBM Q)
- Proven ability to translate research into production-grade solutions
- Deep understanding of AI ethics and regulatory compliance frameworks
- Portfolio of deployed AI systems with measurable impact