Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're pioneering breakthroughs in quantum-computing-enhanced machine learning and autonomous systems. As an AI/ML Engineer, you'll architect next-generation solutions that redefine industries while working with world-class talent in our state-of-the-art San Francisco hub. Enjoy competitive compensation, equity, and flexible work arrangements as we shape the intelligent future.
Responsibilities
- Design and implement scalable ML pipelines for real-time quantum-entangled data processing
- Develop autonomous system architectures using reinforcement learning in simulated 2026 environments
- Optimize neural networks for quantum computing hardware acceleration
- Create ethical AI governance frameworks for next-gen autonomous decision systems
- Lead cross-functional projects integrating AI with IoT and blockchain technologies
- Publish research on quantum-enhanced deep learning techniques
- Mentor junior engineers in cutting-edge ML methodologies
Qualifications
- MS/PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Strong background in quantum machine learning algorithms and hardware integration
- Proven track record deploying production ML systems at scale
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Experience with autonomous system simulation environments (Unity ML-Agents, Gazebo)
- Proficiency in ethical AI frameworks and bias mitigation techniques