Job Description
Join QuantumLeap AI's elite research division in the heart of San Francisco's tech ecosystem. As a Senior AI Research Scientist, you'll pioneer breakthroughs in generative AI, reinforcement learning, and multimodal systems that redefine industry standards. Our dynamic team collaborates with Fortune 500 partners to deploy AI solutions that solve humanity's most complex challenges.
We offer unparalleled resources including dedicated GPU clusters, patent support, and flexible R&D budgets. This role includes competitive equity packages, comprehensive health benefits, and opportunities to publish at top-tier conferences like NeurIPS and ICML.
Responsibilities
- Lead research initiatives in transformer architectures and generative adversarial networks
- Develop novel AI algorithms for autonomous systems and natural language understanding
- Collaborate with engineering teams to translate research into production-ready solutions
- Publish findings in peer-reviewed journals and present at industry conferences
- Mentor junior researchers and drive innovation through quarterly hackathons
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Proven expertise in PyTorch/TensorFlow and distributed training frameworks
- Published record at top-tier AI conferences (NeurIPS, ICML, CVPR)
- Strong background in reinforcement learning and Bayesian optimization
- Experience deploying ML models at scale on cloud platforms (AWS/GCP)
- Demonstrated ability to lead cross-functional AI projects from concept to deployment
- Exceptional problem-solving skills with mathematical rigor