Job Description
Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine interaction. As a Senior AI Research Engineer, you'll architect breakthrough solutions in quantum-enhanced machine learning and neural network optimization. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into scalable, real-world applications that will shape the future.
We foster a culture of radical innovation where your expertise will directly impact the development of autonomous systems, predictive analytics platforms, and ethical AI frameworks. Collaborate with Nobel laureates and Turing Award winners in an environment that values intellectual curiosity and bold experimentation.
Responsibilities
- Design and implement novel AI algorithms leveraging quantum computing principles for 2026-era challenges
- Lead research initiatives in transfer learning and multimodal neural architectures
- Develop scalable ML pipelines processing petabyte-scale datasets
- Collaborate with cross-functional teams to integrate AI solutions into production systems
- Publish breakthrough research in top-tier AI/ML conferences
- Mentor junior researchers and establish best practices for AI ethics and safety
- Secure $5M+ in research grants from NSF, DARPA, and industry partners
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Published research in NeurIPS, ICML, or equivalent tier-1 venues
- Proven track record of deploying production ML systems at scale
- Deep understanding of quantum machine learning fundamentals
- Strong background in reinforcement learning and generative models
- Experience securing federal research grants and managing R&D budgets
- Exceptional problem-solving skills for complex, undefined challenges