Job Description
Join QuantumLeap Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Senior Machine Learning Engineer to architect AI systems that will define the next decade. This is your opportunity to shape the future while working in our cutting-edge San Francisco headquarters.
Why QuantumLeap? We're a 2026 Tech Award-winning pioneer in quantum-ML fusion, offering equity, unlimited PTO, and a $10k/year learning stipend. Our culture celebrates bold experimentation and ethical innovation.
Responsibilities
- Design and deploy scalable ML models for quantum computing environments
- Lead cross-functional teams to integrate AI into 2026's smart infrastructure ecosystems
- Develop ethical AI governance frameworks for autonomous systems
- Research and implement next-gen neural architectures (e.g., neuromorphic computing)
- Optimize algorithms for edge-quantum hybrid computing platforms
- Mentor junior engineers on 2026-compliant ML best practices
Qualifications
- 8+ years ML engineering with 3+ years in quantum-ML integration
- Expertise in PyTorch/TensorFlow and quantum SDKs (Qiskit, Cirq)
- Published research at NeurIPS/ICML on 2026-era AI challenges
- Proficiency in distributed ML on hybrid cloud-quantum architectures
- Certification in AI Ethics (e.g., IEEE 7000™-2026)
- Experience with federated learning for decentralized data ecosystems