Job Description
Join QuantumLeap Dynamics at the forefront of 2026's AI revolution! We're pioneering next-generation neural architectures and autonomous systems that will redefine human-machine interaction. As a Senior AI/ML Engineer, you'll architect breakthrough solutions in quantum-enhanced machine learning and deploy scalable AI infrastructure in our state-of-the-art research lab. Collaborate with Nobel laureates and industry disruptors to build the intelligent systems of tomorrow.
What You'll Achieve: Lead the development of adaptive AI models, optimize quantum-classical hybrid systems, and mentor the next generation of AI pioneers. Your work will directly impact industries from healthcare to climate science.
Responsibilities
- Design and implement cutting-edge ML models leveraging quantum computing paradigms
- Architect scalable AI infrastructure processing petabytes of real-time data
- Lead cross-functional teams in deploying autonomous systems with 99.99% reliability
- Pioneer ethical AI frameworks and bias mitigation techniques
- Develop patents for novel neural architectures and optimization algorithms
- Mentor junior engineers and publish research in top-tier AI conferences
- Collaborate with quantum physicists to create hybrid AI-quantum systems
Qualifications
- PhD or MS in Computer Science/AI with 5+ years of ML engineering experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven track record deploying production ML systems at scale (AWS/GCP/Azure)
- Strong background in reinforcement learning and generative adversarial networks
- Published research in NeurIPS, ICML, or equivalent top-tier conferences
- Proficiency in PyTorch/TensorFlow and low-level optimization (CUDA, OpenCL)
- Demonstrated experience with MLOps and CI/CD for AI pipelines