Job Description
Join QuantumLeap Technologies at the forefront of the 2026 technological revolution! We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries. Work in our state-of-the-art San Francisco lab alongside world-class researchers to develop autonomous AI solutions, quantum-enhanced machine learning models, and next-gen neural networks. Your innovations will power our flagship product suite serving 500M+ users globally. Enjoy unparalleled creative freedom, cutting-edge resources, and a culture that celebrates breakthrough thinking.
Responsibilities
- Design and implement production-grade ML pipelines for real-time data processing at petabyte scale
- Develop quantum-resistant AI algorithms for secure 2026-era applications
- Lead neural architecture research for autonomous decision-making systems
- Collaborate with cross-functional teams to integrate AI solutions into IoT ecosystems
- Optimize models for edge computing deployment across distributed networks
- Contribute to open-source frameworks that shape the future of AI
- Mentor junior engineers in emerging ML paradigms
Qualifications
- PhD or equivalent in Computer Science/AI with 5+ years industry experience
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Experience deploying ML models in production environments with 99.99% uptime
- Strong background in distributed systems and high-performance computing
- Demonstrated ability to translate complex technical concepts into business impact