Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution! We're seeking a visionary AI/ML Engineer to architect and deploy cutting-edge solutions that will redefine industries. Work with our elite R&D team in our state-of-the-art San Francisco hub, where innovation meets impact. This hybrid role offers unparalleled opportunities to shape the future of autonomous systems, quantum-AI integration, and ethical machine learning.
Our engineers enjoy competitive equity packages, unlimited learning stipends, and exclusive access to our 2026 Future-Tech Incubator. If you're passionate about solving tomorrow's challenges today, this is your moment.
Responsibilities
- Design and implement scalable ML pipelines for next-gen autonomous decision systems
- Develop quantum-AI hybrid models leveraging 2026's breakthrough computing architectures
- Lead ethical AI framework development ensuring bias mitigation and transparency
- Collaborate with cross-functional teams to deploy AI solutions in robotics and healthcare
- Research and prototype novel neural network architectures for edge computing
- Optimize models for real-time inference at 5G/6G network latencies
- Mentor junior engineers in emerging AI paradigms
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
- Proven track record deploying production-grade AI systems at scale
- Deep understanding of quantum computing principles and their AI applications
- Experience with MLOps, CI/CD, and cloud-native architectures (AWS/GCP)
- Strong background in ethical AI governance and responsible development
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Portfolio demonstrating 2026-relevant projects (autonomous systems, quantum AI, etc.)