Job Description
Join QuantumLeap Technologies at the forefront of AI innovation in 2026! We're seeking a visionary Senior AI Research Engineer to architect next-generation machine learning solutions that will redefine industries. Our dynamic team operates at the intersection of quantum computing and neural networks, pushing the boundaries of what's possible. You'll collaborate with Nobel laureates and startup pioneers in our state-of-the-art San Francisco campus, with flexible hybrid work options and comprehensive benefits including equity and wellness stipends.
Responsibilities
- Design and implement cutting-edge AI/ML models leveraging quantum-enhanced neural networks
- Lead research initiatives in unsupervised learning and generative AI for enterprise clients
- Develop production-ready pipelines for real-time AI inference at scale
- Mentor junior engineers and publish breakthrough research in top-tier journals
- Architect ethical AI frameworks aligned with 2026 regulatory standards
- Collaborate with cross-functional teams to integrate AI solutions into quantum computing platforms
- Drive innovation in AI safety and explainability techniques
Qualifications
- PhD or equivalent experience in Computer Science, Machine Learning, or related field
- 5+ years developing production AI systems at scale
- Expertise in transformer architectures, diffusion models, and reinforcement learning
- Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
- Published research in NeurIPS, ICML, or equivalent tier conferences
- Strong background in MLOps and cloud-native AI deployment
- Proven ability to translate complex research into commercial applications