Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking a visionary AI/ML Engineer to architect next-generation solutions that will redefine industries. In this role, you'll collaborate with world-class researchers to transform theoretical concepts into scalable, production-ready AI applications.
Our state-of-the-art lab in San Francisco offers unparalleled resources, including quantum computing access and petabyte-scale datasets. You'll work on projects spanning autonomous systems, personalized healthcare AI, and climate modeling—directly contributing to humanity's most critical challenges.
Responsibilities
- Design and implement cutting-edge ML models for real-time data processing systems
- Lead research initiatives in generative AI and neural architecture optimization
- Develop production pipelines for AI deployment at scale (10M+ daily inferences)
- Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
- Architect ethical AI frameworks aligned with 2026 regulatory standards
- Mentor junior engineers in advanced ML techniques and responsible AI practices
- Contribute to open-source projects that shape the future of AI infrastructure
Qualifications
- PhD or MS in Computer Science/AI with 5+ years of ML engineering experience
- Expertise in TensorFlow/PyTorch and distributed training frameworks
- Proven track record deploying production ML systems with >99.9% uptime
- Strong foundation in quantum computing principles and their AI applications
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
- Deep understanding of ethical AI frameworks and bias mitigation techniques