Job Description
Join QuantumLeap Labs' revolutionary Project 2026 to architect the next generation of autonomous AI systems. We're seeking visionary engineers to pioneer breakthroughs in quantum machine learning and neural network optimization. This is your opportunity to shape the future of artificial intelligence in a collaborative, cutting-edge environment with competitive compensation and equity.
Responsibilities
- Design and implement quantum-enhanced ML algorithms for real-time data processing
- Lead neural network architecture optimization for edge deployment
- Collaborate with cross-functional teams on AI ethics and safety protocols
- Develop scalable infrastructure supporting trillion-parameter model training
- Publish research in top-tier AI conferences and journals
- Mentor junior engineers in emerging AI paradigms
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published work in NeurIPS/ICML/ICLR or equivalent
- Proficiency in quantum computing concepts (Qiskit/Cirq)
- Strong background in reinforcement learning and NLP
- Experience with MLOps pipelines and cloud deployment (AWS/GCP)
- Demonstrated leadership in complex AI projects