Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Engineers to architect intelligent systems that will redefine industries. As a key innovator in our San Francisco hub, you'll collaborate with Nobel laureates and disrupt industry paradigms using quantum-enhanced machine learning.
Our cutting-edge lab offers unparalleled resources to develop ethical AI frameworks, deploy next-gen neural networks, and pioneer solutions for climate modeling, personalized medicine, and autonomous systems. This is your chance to shape humanity's digital future while working in a culture that celebrates intellectual curiosity and audacious innovation.
Responsibilities
- Design and implement quantum-optimized machine learning architectures for real-time data processing
- Lead cross-functional teams in developing ethical AI frameworks for regulated industries
- Develop predictive models for climate science and personalized healthcare applications
- Architect scalable ML pipelines processing petabytes of multimodal data
- Pioneer federated learning systems for privacy-preserving AI deployment
- Mentor junior engineers in quantum computing principles and advanced ML techniques
- Collaborate with product teams to translate AI capabilities into market-ready solutions
Qualifications
- PhD in Machine Learning, Quantum Computing, or related field with 5+ years industry experience
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks (Qiskit, Cirq)
- Proven track record deploying production ML systems processing >10TB data daily
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Deep understanding of quantum algorithms for ML acceleration
- Certification in cloud ML platforms (AWS SageMaker, Azure ML) and MLOps best practices
- Experience with federated learning and differential privacy frameworks
- Demonstrated ability to translate complex technical concepts to executive stakeholders