Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking visionary AI/ML Engineers to architect transformative solutions that redefine industries. As a pioneer in quantum-entangled neural networks, you'll collaborate with Nobel Prize-winning researchers in our state-of-the-art Silicon Valley lab. Enjoy cutting-edge resources, flexible work arrangements, and equity in a company valued at $2B+. Shape the future of autonomous systems, generative AI, and ethical machine learning.
Responsibilities
- Design and implement production-level ML pipelines using PyTorch and TensorFlow
- Lead quantum-enhanced algorithm development for real-time predictive modeling
- Architect scalable AI infrastructure on hybrid cloud/quantum platforms
- Collaborate with cross-functional teams to deploy ethical AI solutions
- Pioneer research in federated learning and zero-knowledge AI applications
- Mentor junior engineers and publish breakthrough research in top-tier journals
Qualifications
- PhD in Computer Science/AI or equivalent experience with 5+ years in ML
- Expertise in Python, CUDA, and distributed computing frameworks
- Proven track record deploying ML models serving 10M+ users
- Deep knowledge of quantum computing principles and quantum machine learning
- Strong background in NLP, computer vision, or reinforcement learning
- Experience with MLOps tools (Kubeflow, MLflow) and CI/CD pipelines
- Published research in NeurIPS, ICML, or equivalent tier-1 conferences