Job Description
Join QuantumLeap Dynamics at the forefront of AI revolution shaping 2026's technological landscape. We're seeking visionary AI/ML Engineers to architect next-generation systems that will redefine industries. Our cutting-edge lab partners with Fortune 500 companies to deploy AI solutions in healthcare, climate science, and autonomous systems. Enjoy hybrid work, unlimited learning credits, and direct impact on humanity's future.
Responsibilities
- Design scalable ML pipelines for real-time data processing at petabyte scale
- Develop novel AI architectures for quantum-classical hybrid computing
- Lead cross-functional teams in deploying ethical AI frameworks
- Research breakthrough techniques in federated learning and explainable AI
- Optimize models for edge computing deployment in IoT ecosystems
- Collaborate with product teams to translate AI innovations into market-ready solutions
- Present findings at premier AI conferences and publish in top-tier journals
Qualifications
- PhD in Computer Science/AI or equivalent with 5+ years industry experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum computing APIs
- Proven track record deploying production ML systems with 99.99% uptime
- Strong background in reinforcement learning and generative adversarial networks
- Proficiency in distributed computing (Spark, Kubernetes, Ray)
- Experience with MLOps tools (MLflow, Kubeflow, TFX)
- Publication record at NeurIPS/ICML or equivalent AI conferences