Job Description
Shape the future at QuantLeap Innovations! We're seeking a visionary AI/ML Engineer to drive our 2026 roadmap of groundbreaking autonomous systems. Join our elite team in San Francisco where you'll architect next-gen neural networks and pioneer solutions that redefine human-machine interaction. Our culture blends cutting-edge research with agile execution, offering unmatched resources to transform theoretical concepts into real-world impact. If you're passionate about pushing AI boundaries and thrive in collaborative innovation, this is your launchpad.
Responsibilities
- Design and deploy production-scale ML models for autonomous decision-making systems
- Lead research on quantum-optimized neural networks for 2026-era computing
- Develop real-time inference pipelines for edge AI applications
- Collaborate with quantum computing teams on hybrid AI architectures
- Implement ethical AI governance frameworks for high-stakes autonomous systems
- Architect federated learning solutions for cross-border data collaboration
- Mentor junior engineers in emerging AI paradigms
Qualifications
- PhD in Computer Science/AI or 5+ years equivalent industry experience
- Expertise in PyTorch/TensorFlow with 10+ deployed ML systems
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in quantum computing frameworks (Qiskit, Cirq)
- Experience with federated learning and differential privacy
- Track record of optimizing models for edge deployment
- Strong background in ethical AI frameworks and bias mitigation