Job Description
Join QuantumLeap Labs at the forefront of technological innovation shaping 2026. We're seeking a visionary Senior AI/ML Engineer to architect next-generation autonomous systems and quantum-optimized algorithms. You'll collaborate with Nobel laureates and disrupt industries through predictive analytics, neural network optimization, and edge-AI deployment. Our culture thrives on intellectual curiosity, with 30% R&D time allocated to experimental projects. Enjoy cutting-edge tools, flexible schedules, and equity in a Series B unicorn.
Why QuantumLeap?
- Patent-pioneered AI frameworks
- Global impact on climate modeling & healthcare
- Annual $20k innovation stipend
Responsibilities
- Architect scalable ML pipelines for real-time data processing at petabyte scale
- Develop quantum-resistant encryption algorithms for secure edge-AI deployment
- Mentor junior engineers in generative AI and federated learning techniques
- Lead cross-functional sprints integrating computer vision with NLP systems
- Publish research in top-tier AI conferences (NeurIPS, ICML)
- Optimize model inference for 5G/6G IoT ecosystems
- Drive ethical AI frameworks aligned with 2026 regulatory standards
Qualifications
- 5+ years in production ML systems with TensorFlow/PyTorch mastery
- PhD or equivalent in Quantum Computing/Neural Networks
- Published work in top-tier AI conferences (NeurIPS, ICML)
- Expertise in MLOps tools (Kubeflow, MLflow)
- Proficiency with distributed computing (Spark, Ray)
- Experience with quantum programming (Qiskit, Cirq)
- Strong background in ethical AI governance frameworks