Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're pioneering next-generation neural networks that will redefine human-computer interaction. As our AI Research Scientist, you'll architect breakthrough algorithms while collaborating with Nobel laureates and MIT PhDs. Our state-of-the-art Silicon Valley campus offers unparalleled resources to transform theoretical concepts into scalable solutions that impact billions. Be the architect of tomorrow's intelligence.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional teams in developing ethical AI frameworks
- Publish groundbreaking research in top-tier AI conferences (NeurIPS, ICML)
- Optimize quantum-classical hybrid computing systems for AI training
- Collaborate with product teams to commercialize research into tangible products
- Mentor junior researchers and publish 3+ peer-reviewed papers annually
- Secure $2M+ in annual research grants through innovative proposals
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent research experience)
- 5+ years of experience in neural network architecture design
- Expertise in PyTorch/TensorFlow and quantum computing APIs
- Published record in top AI conferences (NeurIPS/ICML acceptance required)
- Proficiency in distributed computing frameworks (Ray, Horovod)
- Demonstrated experience with ethical AI bias mitigation techniques
- Strong background in reinforcement learning and federated learning
- Ability to translate complex research into product roadmaps