Job Description
Join QuantumLeap Systems at the forefront of technological evolution as we pioneer groundbreaking AI solutions for 2026 and beyond. We're seeking an exceptional AI/ML Engineer to architect and deploy transformative machine learning systems that will redefine industries. This role offers unparalleled opportunities to shape the future of autonomous systems, predictive analytics, and human-AI collaboration in our state-of-the-art San Francisco hub.
Our 2026 initiative focuses on developing ethical, scalable AI frameworks for climate modeling, personalized medicine, and smart infrastructure. You'll collaborate with Nobel laureates, open-source pioneers, and industry disruptors to build systems that process petabytes of real-time data while maintaining privacy and sustainability at their core.
Responsibilities
- Design and implement cutting-edge ML pipelines for next-generation predictive models
- Architect distributed AI systems processing 10M+ daily data points with <99.99% uptime
- Develop ethical AI frameworks aligned with 2026 regulatory standards
- Create real-time inference engines for autonomous decision-making systems
- Optimize neural networks for edge deployment across IoT ecosystems
- Lead cross-functional sprints with quantum computing and blockchain teams
- Publish research in top-tier AI journals and contribute to open-source projects
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow with production deployment of LLMs
- Proficiency in distributed computing (Kubernetes, Spark) and GPU acceleration
- Strong background in MLOps and CI/CD for ML systems
- Published work in NeurIPS/ICML/ICLR or equivalent venues
- Experience with federated learning and differential privacy techniques
- Track record of building systems serving 1M+ concurrent users