Job Description
Shape the future of 2026 technology as a pioneering AI/ML Engineer at QuantumLeap Dynamics. We're developing next-gen autonomous systems that redefine human-machine interaction. Join our elite team to architect scalable AI solutions for Fortune 500 clients in healthcare, logistics, and climate tech. Enjoy hybrid work, unlimited learning stipends, and equity in a Series B unicorn.
Responsibilities
- Design and implement cutting-edge ML pipelines using TensorFlow/PyTorch
- Lead R&D for generative AI models in multimodal systems
- Optimize neural networks for edge computing deployment
- Collaborate with quantum computing teams on hybrid algorithms
- Translate business requirements into robust AI architectures
- Mentor junior engineers in MLOps best practices
Qualifications
- 5+ years in ML/AI with 2+ years in production systems
- Expertise in Python, CUDA, and distributed computing
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Experience with quantum machine learning frameworks (Qiskit, Cirq)
- Strong background in reinforcement learning for autonomous systems
- PhD or equivalent in Computer Science/ML preferred