Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking a visionary Lead AI/ML Engineer to architect and deploy next-generation artificial intelligence solutions that will redefine industries. You'll work in our state-of-the-art San Francisco hub, collaborating with Nobel Prize-winning researchers and Fortune 500 partners to build autonomous systems, predictive neural networks, and quantum-enhanced machine learning models.
This role offers unparalleled opportunities to shape humanity's technological trajectory with competitive equity, unlimited learning stipends, and a flexible hybrid work environment designed for peak innovation.
Responsibilities
- Architect and implement cutting-edge AI/ML pipelines for autonomous systems and predictive analytics
- Lead a team of 5+ engineers in developing quantum-enhanced machine learning models
- Collaborate with product teams to translate business requirements into scalable AI solutions
- Optimize deep learning models for edge deployment and real-time inference
- Research and integrate emerging AI technologies (neuromorphic computing, federated learning)
- Establish best practices for MLOps, model governance, and ethical AI frameworks
- Present breakthrough findings at industry conferences and publish in top-tier journals
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years of industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
- Proven track record of deploying production-grade AI systems at scale
- Strong background in quantum computing principles and quantum machine learning
- Experience leading cross-functional teams through full AI project lifecycles
- Proficiency in cloud platforms (AWS/GCP/Azure) and serverless architectures
- Deep understanding of AI ethics, bias mitigation, and responsible AI practices