Job Description
Join QuantumLeap Labs at the forefront of technological innovation as we pioneer breakthroughs in AI/ML for 2026 and beyond. We're seeking visionary Research Scientists to develop next-generation neural architectures and quantum-enhanced algorithms. Our collaborative environment fosters cutting-edge research with direct impact on autonomous systems, healthcare diagnostics, and climate modeling. Enjoy competitive benefits, flexible work arrangements, and opportunities to publish in top-tier journals.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional teams in developing quantum-classical hybrid ML models
- Conduct rigorous experimentation and publish research in peer-reviewed venues
- Translate theoretical advances into scalable production-ready solutions
- Collaborate with industry partners to address real-world challenges
- Mentor junior researchers and contribute to technical roadmap planning
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 3+ years of experience with transformer architectures and quantum computing
- Publication record at NeurIPS/ICML/ICLR or equivalent conferences
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Strong background in reinforcement learning and generative models
- Proven ability to translate research into commercial applications
- Excellent communication and leadership skills